- Riggenbachstr. 16,
4600 Olten,
Switzerland
Hanne Thomas
FHNW, Institute for Information Systems, Faculty Member
- Optimization (Mathematics), NP-Hard Optimization, Multi-objective Decision Making Problem, Combinatorial Optimization, Hyper-heuristics, Metaheuristics (Informatics), and 23 moreParticle Swarm Optimisation, Simulation (Computer Science), Simulation Based Optimization, Operations research and Optimization, System Dynamics Modeling (in Econ )omics, Transport Economics, Ant Colony Optimisation, Evolutionary Computation, Evolutionary algorithms, Differential Evolution, Genetic Algorithms, Genetic Algorithm, Particle Swarm Optimization, Local Search (Computer Science), Algorithms, Decision Support Systems, Logistics, Operations Research, Business Intelligence, Computational Intelligence, Soft Computing, Swarm Intelligence, and Supply Chain Managementedit
- Professors at FHNW, University of Applied Sciences and Art Northwestern Switzerland.edit
The Two-Echelon Vehicle Routing Problem (2E-VRP) is a combinatorial optimization problem used in transport logistics with a two layered composition. In a first level trip, freight has to be delivered from a main depot to a set of possible... more
The Two-Echelon Vehicle Routing Problem (2E-VRP) is a combinatorial optimization problem used in transport logistics with a two layered composition. In a first level trip, freight has to be delivered from a main depot to a set of possible satellites (intermediate depots). Afterwards the goods are served in second level trips to the final customers. Inspired by a paper from Nguyen, Prins and Prodhon we developed a novel heuristic comparison framework based on the open source simulation environment OpenCI. On the basis of the mentioned paper we implemented three heuristics to solve the 2E-VRP and a greedy randomized adaptive search procedure (GRASP) with a learning process (LP). The GRASP-LP uses two heuristics which improve their solution by a variable neighborhood descent (VND). The VND itself uses two different neighborhoods to enhance the result. The comparison framework is able to load different 2E-VRP maps which can be solved by single heuristics or the GRASP. The new heuristic comparison framework offers the possibility to add quickly different heuristics and to do experiments with them.
Research Interests:
A variant of the well-known travelling salesman problem is about introducing particular dependencies among the cities. Such dependencies might describe the relations between single cities which can be used for autonomous vehicles that... more
A variant of the well-known travelling salesman problem is about introducing particular dependencies among the cities. Such dependencies might describe the relations between single cities which can be used for autonomous vehicles that need to follow certain paths for some reasons. This paper deals with solving the Travelling Salesman Region Problem where particular connections of cities are already predefined. We are investigating and discussing the influences of the parameters of the Ant Colony Optimization algorithm solving travelling salesman region problems.
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Index tracking belongs to one of the most important types of problems in portfolio management. In contrast to classical (active) portfolio management and optimization, passive portfolio management usually seeks to replicate a given index... more
Index tracking belongs to one of the most important types of problems in portfolio management. In contrast to classical (active) portfolio management and optimization, passive portfolio management usually seeks to replicate a given index for a financial market. Due to transaction costs or legal or other practical limitation on the tradability of the respective assets, such indexes are often not fully replicated by a respective portfolio. Instead, one seeks to use a subset of the index assets (or other types of assets) to obtain a portfolio most similar to the index. This index tracking problem can be formulated as an optimization problem with respect to the minimization of the tracking error. In this article, we explore possibilities to solve the index tracking problem with invasive weed optimization (IWO), a rather new population-based metaheuristics algorithm. The complexity of this real-life problem and especially its solution space and restrictions require substantial adaptation of the original IWO algorithm. We explore different possibilities to adapt IWO to the considered type of problem. The adapted IWO method is tested using MSCI USA Value data, and systematic studies to find suitable parameter values are conducted. Although the method basically works well, the obtained results do not fully reach our intended benchmark. Reasons for that and possibilities for further improvement of the methodology are discussed.
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The creation of staff rosters for emergency shifts for doctors is a complex task. To construct good rosters, many restrictions (eg holydays and workload) have to be taken into account. These restrictions have been mathematically specified... more
The creation of staff rosters for emergency shifts for doctors is a complex task. To construct good rosters, many restrictions (eg holydays and workload) have to be taken into account. These restrictions have been mathematically specified for a concrete case in order to solve the problem ...
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One aspect that most of the current research on evolutionary multiobjective optimization (EMO) often disregards is the fact that the solution of a multiobjective optimization problem (MOP) really involves three stages: measurement,... more
One aspect that most of the current research on evolutionary multiobjective optimization (EMO) often disregards is the fact that the solution of a multiobjective optimization problem (MOP) really involves three stages: measurement, search, and decision making.
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Research Interests:
We introduce an emotion influenced robotic path planning solution which offers the possibility of enabling emotions in the robot. The robot can change the speed of the path or learn where it should be and where it should not be. Most... more
We introduce an emotion influenced robotic path planning solution which offers the possibility of enabling emotions in the robot. The robot can change the speed of the path or learn where it should be and where it should not be. Most existing solutions for robotic path planning have no emotional influences. The most successful emotions were taken and included into the solution of this paper. The results were analyzed with regard to the time and speed it takes for a normal robotic path planning without emotions and with emotions of happiness, fear and novelty.
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Abstract: We consider a multistage lotsizing problem with capacity-constrained resources, general product structures and nonzero lead times. This problem is motivated by a real-life application from a large manufacturer of electronic... more
Abstract: We consider a multistage lotsizing problem with capacity-constrained resources, general product structures and nonzero lead times. This problem is motivated by a real-life application from a large manufacturer of electronic devices and deals with the determination of a production plan for the end items and their components to meet external prioritized demand in each period of a given planning horizon. Since resources are scarce, the main objective is to obtain a production plan that minimizes the total number of late orders. The ...
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This paper deals with the basic ideas and implementation of an object-oriented decision support system (DSS), especially for multiple criteria decision making (MCDM). There are various ways of integrating different MCDM methods in a DSS.... more
This paper deals with the basic ideas and implementation of an object-oriented decision support system (DSS), especially for multiple criteria decision making (MCDM). There are various ways of integrating different MCDM methods in a DSS. One way is the interactive application of different methods by means of an integrative user interface. Integration can also be achieved by utilizing neural networks and similar concepts. Neural network-based DSS are able to combine different methods and to learn from historical decisions. They are able to answer questions like: Which method should be used? How can the parameters be adjusted? Is it useful to apply different methods and to aggregate their results to a compromise solution? And how should this be done?
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AbstractBoth areas, airline planning and railway planning, have attracted a significant interest from the operations research and optimization community during the past decades. Although both areas have significant similarities, ie... more
AbstractBoth areas, airline planning and railway planning, have attracted a significant interest from the operations research and optimization community during the past decades. Although both areas have significant similarities, ie transport of people and goods according to ...
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ABSTRACT The paper is divided into three parts: (1) Historical sketch, (2) Main streams of research, (3) Future development. In the first part, a concise review of the historical roots and the developments of vector optimization in the... more
ABSTRACT The paper is divided into three parts: (1) Historical sketch, (2) Main streams of research, (3) Future development. In the first part, a concise review of the historical roots and the developments of vector optimization in the sense of decision making under several goals (objective functions) is presented. In the second part, various main streams are discussed. Two basic aspects of vector optimization can be distinguished: the pure theoretical, mainly mathematical one, and the more practical, methodologically oriented one. A brief survey of vector optimization theory is given. In the third part, we try to outline directions of future development based on the knowledge of past and present trends.
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Tomas Gal1 and Thomas Hanne2 1FernUniversität in Hagen, Universitätsstraße 41, 58084 Hagen 2University of Applied Sciences, Riggenbachstr. 16, 4600 Olten, Schweiz tomas.gal@fernuni-hagen.de, thomas.hanne@fhnw.ch ... Abstract. Various... more
Tomas Gal1 and Thomas Hanne2 1FernUniversität in Hagen, Universitätsstraße 41, 58084 Hagen 2University of Applied Sciences, Riggenbachstr. 16, 4600 Olten, Schweiz tomas.gal@fernuni-hagen.de, thomas.hanne@fhnw.ch ... Abstract. Various methods ...
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Research Interests:
The creation of staff rosters for emergency shifts for doctors is a complex task. To construct good rosters, many restrictions (eg holydays and workload) have to be taken into account. These restrictions have been mathematically specified... more
The creation of staff rosters for emergency shifts for doctors is a complex task. To construct good rosters, many restrictions (eg holydays and workload) have to be taken into account. These restrictions have been mathematically specified for a concrete case in order to solve the problem ...
Research Interests:
In this paper we discuss a real-life problem in rail crew rostering. Specific emphasis is placed on the requirements of advanced approaches in rostering and the usage of optimization-based decision support. The modeling of the rostering... more
In this paper we discuss a real-life problem in rail crew rostering. Specific emphasis is placed on the requirements of advanced approaches in rostering and the usage of optimization-based decision support. The modeling of the rostering problems is discussed including the ...
Research Interests: Information Systems, Computer Science, Visualization, Transport Logistics, Railway Transport, and 13 moreEvolutionary Computation, Transport Planning, Scheduling, Decision Support Systems, Multiobjective Optimization, Data Visualization, Data Visualisation, Navigation, Decision Support, Evolutionary Algorithm, Availability, Objective function, and navigation tools
We consider a lotsizing problem in a multi-stage production setting with capacity-constrained resources and a general production structure which may change during the planning horizon. Based on an earlier presentation [1], we focus on... more
We consider a lotsizing problem in a multi-stage production setting with capacity-constrained resources and a general production structure which may change during the planning horizon. Based on an earlier presentation [1], we focus on some novel concepts of capacity planning. We also present computational results for test problems obtained with the most recent version of our planning software.
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Research Interests:
We discuss a renewed Information Systems Bachelor program and a newly introduced Master of Science (MSc) in Business Information Systems at our university. A large part of teaching is now based on e-learning and problem-based learning (or... more
We discuss a renewed Information Systems Bachelor program and a newly introduced Master of Science (MSc) in Business Information Systems at our university. A large part of teaching is now based on e-learning and problem-based learning (or learning-by-doing) in order to provide the students more freedom to repeat and deepen the taught subjects, often in students' projects. As indicated in student assessments, the quality of teaching and the students' motivation are increasing significantly. Some topics of the new ...
In this paper we study the usage of advanced planning technologies in Advanced Planning Systems (APS). In particular, we consider the utilization of approaches from the areas of modeling, simulation, and optimization. The study is based... more
In this paper we study the usage of advanced planning technologies in Advanced Planning Systems (APS). In particular, we consider the utilization of approaches from the areas of modeling, simulation, and optimization. The study is based on a questionnaire-based survey asking commercial APS providers on utilizing such methods in general and with respect to specific modules of their APS. The results show that such methods are used mostly in accordance with suggestions coming from the academic ...
Das Tätigkeitsfeld des Fraunhofer Instituts für Techno-und Wirt schafts ma the ma tik ITWM um fasst an wen dungs na he Grund la gen for schung, angewandte For schung so wie Be ra tung und kun den spe zi fische Lö sun gen auf allen... more
Das Tätigkeitsfeld des Fraunhofer Instituts für Techno-und Wirt schafts ma the ma tik ITWM um fasst an wen dungs na he Grund la gen for schung, angewandte For schung so wie Be ra tung und kun den spe zi fische Lö sun gen auf allen Gebieten, die für Techno-und Wirt schafts ma the ma tik be deut sam sind.
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This paper serves the discussion of some questions concerning the application of evolutionary algorithms to multiobjective optimization problems with continuous variables. A main question of transforming evolutionary algorithms for scalar... more
This paper serves the discussion of some questions concerning the application of evolutionary algorithms to multiobjective optimization problems with continuous variables. A main question of transforming evolutionary algorithms for scalar optimization into those for multiobjective optimization concerns the modification of the selection step. In earlier work we have analyzed specific properties of selection rules called efficiency preservation and negative efficiency preservation. In this article1, we discuss the use of these properties by applying an accordingly modified selection rule to some test problems. The number of efficient alternatives of a population for different test problems provides a better understanding of the change of data during the evolutionary process. Also effects of the number of objective functions are treated. We also analyze the influence of the number of objectives and the relevance of these results in the context of the 1/5 rule, a mutation control concept for scalar evolutionary algorithms which cannot easily be transformed into the multiobjective case.
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Das Tätigkeitsfeld des Fraunhofer Instituts für Techno-und Wirt schafts ma the ma tik ITWM um fasst an wen dungs na he Grund la gen for schung, angewandte For schung so wie Be ra tung und kun den spe zi fische Lö sun gen auf allen... more
Das Tätigkeitsfeld des Fraunhofer Instituts für Techno-und Wirt schafts ma the ma tik ITWM um fasst an wen dungs na he Grund la gen for schung, angewandte For schung so wie Be ra tung und kun den spe zi fische Lö sun gen auf allen Gebieten, die für Techno-und Wirt schafts ma the ma tik be deut sam sind.
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... by Sociedad de Estadística e Investigación Operativa Madrid, Spain Page 2. Top Volume 12, Number 1 June 2004 Editors Marco A. LÓPEZ-CERDÁ Ignacio GARCÍA-JURADO Technical Editor Antonio ALONSO-AYUSO Associate Editors Ramón... more
... by Sociedad de Estadística e Investigación Operativa Madrid, Spain Page 2. Top Volume 12, Number 1 June 2004 Editors Marco A. LÓPEZ-CERDÁ Ignacio GARCÍA-JURADO Technical Editor Antonio ALONSO-AYUSO Associate Editors Ramón ÁLVAREZ-VALDÉS Kristiaan ...
Operations Research (OR) und Management Science sind Bezeichnungen f ur jenen, nach dem zweiten Weltkrieg entstehenden Wissenschaftszweig, der sich vor allem mit der Anwen-dung formaler, mathematischer Methoden auf okonomische und andere... more
Operations Research (OR) und Management Science sind Bezeichnungen f ur jenen, nach dem zweiten Weltkrieg entstehenden Wissenschaftszweig, der sich vor allem mit der Anwen-dung formaler, mathematischer Methoden auf okonomische und andere ...
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In this paper, we discuss approaches related to the explicit modelling of human beings in software processes. While in most older simulation models of software processes, esp. those of the system dynamics type, humans are only represented... more
In this paper, we discuss approaches related to the explicit modelling of human beings in software processes. While in most older simulation models of software processes, esp. those of the system dynamics type, humans are only represented as a labor pool, more recent models of the discrete-event simulation type require representation of individual humans. In that case, particularities regarding the person become more relevant. These individual effects are either considered as stochastic variations of productivity, or an explanation is sought based on individual characteristics, such as skills for instance. In this paper, various specific models for representing human effects in software process simulation are discussed.
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This paper serves the discussion of some questions concerning the application of evolutionary algorithms to multiobjective optimization problems with continuous variables. A main question of transforming evolutionary algorithms for scalar... more
This paper serves the discussion of some questions concerning the application of evolutionary algorithms to multiobjective optimization problems with continuous variables. A main question of transforming evolutionary algorithms for scalar optimization into those for multiobjective optimization concerns the modification of the selection step. In earlier work we have analyzed specific properties of selection rules called efficiency preservation and negative efficiency preservation. In this article1, we discuss the use of these properties by applying an accordingly modified selection rule to some test problems. The number of efficient alternatives of a population for different test problems provides a better understanding of the change of data during the evolutionary process. Also effects of the number of objective functions are treated. We also analyze the influence of the number of objectives and the relevance of these results in the context of the 1/5 rule, a mutation control concep...
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Research Interests:
Research Interests:
Operations Research (OR) und Management Science sind Bezeichnungen f ur jenen, nach dem zweiten Weltkrieg entstehenden Wissenschaftszweig, der sich vor allem mit der Anwen-dung formaler, mathematischer Methoden auf okonomische und andere... more
Operations Research (OR) und Management Science sind Bezeichnungen f ur jenen, nach dem zweiten Weltkrieg entstehenden Wissenschaftszweig, der sich vor allem mit der Anwen-dung formaler, mathematischer Methoden auf okonomische und andere ...
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Research Interests:
This paper deals with the basic ideas and implementation of an object-oriented decision support system (DSS), especially for multiple criteria decision making (MCDM). There are various ways of integrating different MCDM methods in a DSS.... more
This paper deals with the basic ideas and implementation of an object-oriented decision support system (DSS), especially for multiple criteria decision making (MCDM). There are various ways of integrating different MCDM methods in a DSS. One way is the interactive application of different methods by means of an integrative user interface. Integration can also be achieved by utilizing neural networks and similar concepts. Neural network-based DSS are able to combine different methods and to learn from historical decisions. They are able to answer questions like: Which method should be used? How can the parameters be adjusted? Is it useful to apply different methods and to aggregate their results to a compromise solution? And how should this be done?
Research Interests:
In this article we consider the problem of nonessential objectives for multiobjective optimization problems (MOP) with linear objective functions. In 1977 an approach based on the reduction of size of the matrix of objective functions has... more
In this article we consider the problem of nonessential objectives for multiobjective optimization problems (MOP) with linear objective functions. In 1977 an approach based on the reduction of size of the matrix of objective functions has been worked out by one of the present authors (Gal, T., Leberling, H., 1977. European Journal of Operations Research 1, 176–184). Although this method for dropping nonessential objectives leads to a mathematically equivalent MOP, problems concerning the application of MOP methods may arise. For instance, dropping some (or all) of the nonessential objectives the question is, how to ensure obtaining the same solution as with all objectives involved. We consider the problem of adapting the parameters of multiobjective optimization methods. For the case of weighting methods a simple procedure for adapting the weights is analyzed. For other methods, e.g. reference point approaches, such a simple possibility for adapting the parameters is not given.
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Originally, artificial neurons and neural networks were simplified models of nerve cells and systems used to explain biological information processing (McCulloch and Pitts 1943). Later on and particularly since the 1980s numerous other... more
Originally, artificial neurons and neural networks were simplified models of nerve cells and systems used to explain biological information processing (McCulloch and Pitts 1943). Later on and particularly since the 1980s numerous other applications have been found, many of them without any direct relationship to the biological paradigm. Since then neural networks (sometimes denoted as artificial neural networks) have been considered as an appealing means for solving various kinds of problems in engineering, economics, computer science ...
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"Multiple criteria decision-making research has developed rapidly and has become a main area of research for dealing with complex decision problems which require the consideration of multiple objectives or criteria. Over the past... more
"Multiple criteria decision-making research has developed rapidly and has become a main area of research for dealing with complex decision problems which require the consideration of multiple objectives or criteria. Over the past twenty years, numerous multiple criterion decision methods have been developed which are able to solve such problems. However, the selection of an appropriate method to solve a particular decision problem is today's problem for a decision support researcher and decision-maker. Intelligent Strategies for Meta Multiple Criteria Decision-Making deals centrally with the problem of the numerous MCDM methods that can be applied to a decision problem. The book refers to this as a `meta decision problem', and it is this problem that the book analyzes. The author provides two strategies to help the decision-makers select and design an appropriate approach to a complex decision problem. Either of these strategies can be designed into a decision support system itself. One strategy is to use machine learning to design an MCDM method. This is accomplished by applying intelligent techniques, namely neural networks as a structure for approximating functions and evolutionary algorithms as universal learning methods. The other strategy is based on solving the meta decision problem interactively by selecting or designing a method suitable to the specific problem, for example, the constructing of a method from building blocks. This strategy leads to a concept of MCDM networks. Examples of this approach for a decision support system explain the possibilities of applying the elaborated techniques and their mutual interplay. The techniques outlined in the book can be used by researchers, students, and industry practitioners to better model and select appropriate methods for solving complex, multi-objective decision problems."
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Although, we do not yet have practical experiences with using the new approach for multicriteria decision support and optimization, it is appealing because the interaction between navigation interface and MOEA solves two problems at the... more
Although, we do not yet have practical experiences with using the new approach for multicriteria decision support and optimization, it is appealing because the interaction between navigation interface and MOEA solves two problems at the same time. First, the MOEA provides a new and effective means for feeding the navigtion interface with data on solutions to a hard-to-solve multiobjective optimization problem in an on-line fashion. The usage of solution interpolation or a database resulting from a computationally expensive apriori calculation of solutions can be avoided, at least in part. Secondly, information from the navigation interface allows the MOEA to concentrate on a preferable subset of solutions which is frequently much smaller than the whole set of Pareto-optimal solutions. Thus, the computational effort of the MOEA may decrease drastically. The asynchronous concept of the communication between user interface and MOEA avoids waiting times both for the human user and for t...
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The problem of selecting a method for solving an MCDM problem is dicussed. This problem called meta decision problem can be formulated and solved in different ways. The most common approach is to define it as a problem of choosing one... more
The problem of selecting a method for solving an MCDM problem is dicussed. This problem called meta decision problem can be formulated and solved in different ways. The most common approach is to define it as a problem of choosing one method from a finite set of methods which are evaluated according to several criteria. This leads to a formalization of the meta decision problem as an MCDM problem itself. Scalar evaluations of methods can help to avoid the meta decision problem becoming too complex. The problem of assessing the parameter(s) of an MCDM problem is similar to the meta decision problem above and can be interpreted as the problem to design an MCDM method. This leads to a formalization of the meta decision problem as a scalar parameter optimization problem. Information for solving meta decision problems can be submitted by a decision maker or is given as a data file originating, e. g., from prior decision making processes. Thus a meta decision problem can be solved in an i...
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Research Interests: Applied Mathematics, Evolutionary algorithms, Heuristics, Evolutionary Computation, Optimization (Mathematics), and 8 moreOptimization techniques, Multiobjective Optimization, Genetic Algorithm, Multiobjective Evolutionary Optimization, Efficiency, Evolutionary Computing, Evolutionary Algorithm, and Evolution Strategy
Distributors for North, Central and South America: Kluwer Academic Publishers 101 Philip Drive Assinippi Park Norwell, Massachusetts 02061 USA Telephone (781) 871-6600 Fax (781) 871-6528 E-Mail< kluwer@ wkap. com>... more
Distributors for North, Central and South America: Kluwer Academic Publishers 101 Philip Drive Assinippi Park Norwell, Massachusetts 02061 USA Telephone (781) 871-6600 Fax (781) 871-6528 E-Mail< kluwer@ wkap. com> Distributors for all other countries: Kluwer ...
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Research Interests:
In our paper we present an application of different MCDM methods to the problem of bank balance sheet analysis. In cooperation with a credit institute refinancing other banks we analyzed possibilities of the introduction of formalized... more
In our paper we present an application of different MCDM methods to the problem of bank balance sheet analysis. In cooperation with a credit institute refinancing other banks we analyzed possibilities of the introduction of formalized MCDM methods into the decision making processes. The ...
Research Interests:
In our paper we present an application of different MCDM methods to the problem of bank balance sheet analysis. In cooperation with a credit institute refinancing other banks we analyzed possibilities of the introduction of formalized... more
In our paper we present an application of different MCDM methods to the problem of bank balance sheet analysis. In cooperation with a credit institute refinancing other banks we analyzed possibilities of the introduction of formalized MCDM methods into the decision making processes. The ...
Research Interests:
ABSTRACT We consider the basic ideas, the implementation, and the application of an object-oriented decision support system (DSS), especially for multiple criteria decision making (MCDM). One main idea of the DSS is to utilize the... more
ABSTRACT We consider the basic ideas, the implementation, and the application of an object-oriented decision support system (DSS), especially for multiple criteria decision making (MCDM). One main idea of the DSS is to utilize the features of different MCDM methods by integration. We discuss several approaches of integration esp. the combination of methods, the use of neural networks, and a generalization of network-like structures. Information acquisition is an essential part for any DSS. Beside aspects of and the interactive data entry, we discuss the utilization of historical data (especially from former decisions) for learning. By doing so the parameters of a method, some methods, or a network of methods can be tuned and we can answer questions like: Which method should be used? How can the parameters be adjusted? Is it useful to apply different methods and to aggregate their results to build a compromise solution? And how should this be done?
Research Interests:
ABSTRACT We consider the basic ideas, the implementation, and the application of an object-oriented decision support system (DSS), especially for multiple criteria decision making (MCDM). One main idea of the DSS is to utilize the... more
ABSTRACT We consider the basic ideas, the implementation, and the application of an object-oriented decision support system (DSS), especially for multiple criteria decision making (MCDM). One main idea of the DSS is to utilize the features of different MCDM methods by integration. We discuss several approaches of integration esp. the combination of methods, the use of neural networks, and a generalization of network-like structures. Information acquisition is an essential part for any DSS. Beside aspects of and the interactive data entry, we discuss the utilization of historical data (especially from former decisions) for learning. By doing so the parameters of a method, some methods, or a network of methods can be tuned and we can answer questions like: Which method should be used? How can the parameters be adjusted? Is it useful to apply different methods and to aggregate their results to build a compromise solution? And how should this be done?
Research Interests:
In this paper we discuss some questions of applying evolutionary algorithms to multiobjective optimization problems with continuous variables. A main question of transforming evolutionary algorithms for scalar optimization into those for... more
In this paper we discuss some questions of applying evolutionary algorithms to multiobjective optimization problems with continuous variables. A main question of transforming evolutionary algorithms for scalar optimization into those for multiobjective optimization concerns the modi cation of the selection step. In an earlier article we have analyzed special properties of selection rules called eciency preservation and negative eciency preservation. Here, we discuss the use of these properties by applying an accordingly modi ed selection rule to some test problems. The number of ecient alternatives of a population for di erent test problems provides a better understanding of the change of data during the evolutionary process. Also asp ects of the number of objective functions are treated. We also analyze the influence of the number of objectives and the relevance of these results in the context of the 1/5 rule, a mutation control concept for scalar evolutionary algorithms which c...
Research Interests: Supply Chain Management, Evolutionary algorithms, Evolutionary Computation, Optimization (Mathematics), Genetic Algorithms, and 9 moreOptimization techniques, Decision Analysis, Multiobjective Optimization, Genetic Algorithm, Optimization, Multiobjective Evolutionary Optimization, Evolutionary Algorithm, Global Optimum, and Objective function
Concepts of a Learning Object-Oriented Problem Solver (LOOPS) Thomas Hanne Department of Economics, Operations Research, FernUniversitat Hagen, Liitkenheider Str. 2, 58084 Hagen, Germany, E-mail: thomas. hanne@ fernuni-hagen. de Abstract.... more
Concepts of a Learning Object-Oriented Problem Solver (LOOPS) Thomas Hanne Department of Economics, Operations Research, FernUniversitat Hagen, Liitkenheider Str. 2, 58084 Hagen, Germany, E-mail: thomas. hanne@ fernuni-hagen. de Abstract. This presentation ...
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In this article, we present a novel evolutionary algorithm for approximating the efficient set of a multiobjective optimization problem (MOP) with continuous variables. The algorithm is based on populations of variable size and exploits... more
In this article, we present a novel evolutionary algorithm for approximating the efficient set of a multiobjective optimization problem (MOP) with continuous variables. The algorithm is based on populations of variable size and exploits new rules for selecting alternatives generated by mutation and recombination. A special feature of the algorithm is that it solves at the same time the original problem and a dual problem such that solutions converge towards the efficient border from two “sides”, the feasible set and a subset of the infeasible set. Together with additional assumptions on the considered MOP and further specifications on the algorithm, theoretical results on the approximation quality and the convergence of both subpopulations, the feasible and the infeasible one, are derived.
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Abstract An optimization framework combines various methods, strategies, and programming interfaces on a robust software platform. Its development requires knowledge from application areas, and about optimization methods, as well as from... more
Abstract An optimization framework combines various methods, strategies, and programming interfaces on a robust software platform. Its development requires knowledge from application areas, and about optimization methods, as well as from software engineering. Different ...
Research Interests: Software Engineering, Knowledge Management, Evolutionary algorithms, Machine Learning, Evolutionary Computation, and 13 moreOpen Source Software, Software Development, Software Architecture, Decision Support Systems, Optimization techniques, Knowledge Transfer, Modeling and Simulation, Multiobjective Optimization, Continuous Improvement, Learning, Knowledge Engineering, Evolutionary Algorithm, and Cooperative Work
We introduce an emotion influenced robotic path planning solution, which offers the possibility of enabling emotions into the robot. The robot can change the speed of the path or learn where it should be and where it should not be. Most... more
We introduce an emotion influenced robotic path planning solution, which offers the possibility of enabling emotions into the robot. The robot can change the speed of the path or learn where it should be and where it should not be. Most existing solutions for robotic path planning have no emotional influences. The most successful emotions were taken and included into the solution of this paper. The results were analyzed with regards to the time and speed it takes for a normal robotic path planning without emotions and with emotions of happiness, fear and novelty.
Research Interests:
We discuss a renewed Information Systems Bachelor program and a newly introduced Master of Science (MSc) in Business Information Systems at our university. A large part of teaching is now based on e-learning and problem-based learning (or... more
We discuss a renewed Information Systems Bachelor program and a newly introduced Master of Science (MSc) in Business Information Systems at our university. A large part of teaching is now based on e-learning and problem-based learning (or learning-by-doing) in order to provide the students more freedom to repeat and deepen the taught subjects, often in students' projects. As indicated in student assessments, the quality of teaching and the students' motivation are increasing significantly. Some topics of the new ...
The Symposium will be held in Olten, Switzerland during September 5-7, 2016. The aim as well as objective of ISCBI 2016 is to present the latest research and results of scientists working in the fields related to Computational and... more
The Symposium will be held in Olten, Switzerland during September 5-7, 2016. The aim as well as objective of ISCBI 2016 is to present the latest research and results of scientists working in the fields related to Computational and Business Intelligence.
Topics include but are not limited to theoretical advances, new methods and applications in Business Intelligence, Neural networks, Fuzzy Systems and Evolutionary Computation. Please find further details at: : http://iscbi.com/cfp.html. The paper submission deadline is April 30, 2016.
ISCBI 2016 is organized by South Asia Institute of Science and Engineering (SAISE), the University of Applied Sciences and Arts Northwestern Switzerland and the International Neural Network Society (INNS) India Regional Chapter and is the flagship event of INNS-India. After the immensely successful ISCBI13, ISCBI14 & ISCBI15, ISCBI 2016 is expected to be more exciting, stimulating & educative. The intention is to establish an effective platform for institutions and industries to share ideas and to present the works of scientists, engineers, educators and students across the globe. The organizing committee of the Symposium is pleased to invite prospective authors to submit their original manuscripts for possible presentation at ISCBI 2016. Further details of the conference can be found at: http://iscbi.com/
Topics include but are not limited to theoretical advances, new methods and applications in Business Intelligence, Neural networks, Fuzzy Systems and Evolutionary Computation. Please find further details at: : http://iscbi.com/cfp.html. The paper submission deadline is April 30, 2016.
ISCBI 2016 is organized by South Asia Institute of Science and Engineering (SAISE), the University of Applied Sciences and Arts Northwestern Switzerland and the International Neural Network Society (INNS) India Regional Chapter and is the flagship event of INNS-India. After the immensely successful ISCBI13, ISCBI14 & ISCBI15, ISCBI 2016 is expected to be more exciting, stimulating & educative. The intention is to establish an effective platform for institutions and industries to share ideas and to present the works of scientists, engineers, educators and students across the globe. The organizing committee of the Symposium is pleased to invite prospective authors to submit their original manuscripts for possible presentation at ISCBI 2016. Further details of the conference can be found at: http://iscbi.com/
Research Interests:
Freelancers could catalyze the software development process by providing their niche skills to generate high quality outputs. They could help companies (including startups) to foster innovations by suggesting creative ideas and providing... more
Freelancers could catalyze the software development process by providing their niche skills to generate high quality outputs. They could help companies (including startups) to foster innovations by suggesting creative ideas and providing their expertise in implementing them (for instance, designing solutions, coding solutions etc.). Freelancers could effectively and efficiently work as a virtual member of the software development team. The company must make informed decisions about which task to allot to the freelancer, which freelancer to select, pricing the task, and evaluating the submitted work. On the other hand, the freelancer should make an informed decision about evaluating the monetary value of the task to be charged, trusting the requester, analyzing the skills requirement of the task (finding matches between skill requirement and skills processed), selecting the best task, and maintaining the highest level of reputation. However, the literature does not provide freelancers and the companies the guidelines that support their decision making. However, if freelancers are selected carefully for the most suitable task, the companies will benefit a lot in terms of improved software development metrics. [Objectives] The objective of this paper is to provide the research community the research trends in freelancer-supported software development. This helps to understand that which software development areas have higher concentrations of research efforts, which area has the support of empirical evidence to support management decision makings, and which area requires the research attention. [Method] The systematic study is conducted by planning the mapping protocol, executing the protocol, and reporting the findings using various visualization tools like bar charts and pie charts. The search process was planned to be executed using set of inclusion and exclusion conditions on four bibliographic databases (IEEExplore, Springerlink, Sciencedirect, and ACM digital library). The relevant papers are selected by applying inclusion and exclusion conditions. The google citations of the relevant papers are subject to the inclusion and exclusion conditions again to include the more relevant papers. Finally, the systematic schema was created and populated after analyzing the studies abstracts. [Results] The results indicate the following (a) The research focus is on generic software development (78%) rather on individual life cycle activities. (b) The number of empirical studies is limited (25%). (c) A number of studies proposing solutions and evaluating on live cases in industrial settings are missing from the literature. This is in comparison to the validation approaches (72%) i.e., solutions tested in laboratory settings. (d) At present, the literature has limited ability to provide the software companies (including startups) with the guidelines (in the form of opinions and experience reports) for involving freelancers in the software development process. (e) The reported challenges include Collaboration and Coordination (33%), Developer Recommendation (or selection) (19%), Team Formulation (14%), Task Recommendation (allocation) (14%), Task Decomposition (11%), Privacy and Security (Confidentiality) (11%), Budget Estimation (8%), Recognition (8%), Trust Issues (8%), Market Dynamism (6%), Intellectual Property Issues (6%), Participation of Crowd Worker (6%), and Capacity Utilization (3%). These challenges are highly interactive, and each challenge impacts all other challenges. (e) Recent Processes 2020, 8, 1215 2 of 25 focus of the researchers (total 7 studies in 2019) is on generic software development handling the collaboration and coordination (3 studies out of 7), Developer recommendation (2 studies out of 7), and task recommendation (2 studies out of 7). [Conclusion] The freelancer-driven software engineering research area has got the attraction of the researchers, but it will take a long time to gain maturity. This puts an urgent call for more empirical studies and evaluation-based solution research that could help companies (including startups) to foster innovations. Further, the research focus should be well distributed among the various development phases to address the unique challenges associated with individual activities. The accurate management of the freelancer in the software development could help companies and startups to foster innovations and remain competitive in the marketplace.