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ORCID17th PPSN 2022: Dortmund, Germany - Part II
- Günter Rudolph
, Anna V. Kononova, Hernán E. Aguirre, Pascal Kerschke, Gabriela Ochoa, Tea Tusar:
Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13399, Springer 2022, ISBN 978-3-031-14720-3
Genetic Programming
- Hammad Ahmad, Padraic Cashin, Stephanie Forrest, Westley Weimer:
Digging into Semantics: Where Do Search-Based Software Repair Methods Search? 3-18 - Joe Harrison, Tanja Alderliesten, Peter A. N. Bosman:
Gene-pool Optimal Mixing in Cartesian Genetic Programming. 19-32 - Xinpeng Long, Michael Kampouridis, Panagiotis Kanellopoulos:
Genetic Programming for Combining Directional Changes Indicators in International Stock Markets. 33-47 - Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. 48-62 - Roman Kalkreuth:
Towards Discrete Phenotypic Recombination in Cartesian Genetic Programming. 63-77
Multi-Objective Optimization
- Giomara Lárraga, Kaisa Miettinen:
A General Architecture for Generating Interactive Decomposition-Based MOEAs. 81-95 - Zihan Wang, Chunyun Xiao, Aimin Zhou:
An Exact Inverted Generational Distance for Continuous Pareto Front. 96-109 - Tianye Shu, Ke Shang, Yang Nan, Hisao Ishibuchi:
Direction Vector Selection for R2-Based Hypervolume Contribution Approximation. 110-123 - Shuang Li, Ke Li, Wei Li:
Do We Really Need to Use Constraint Violation in Constrained Evolutionary Multi-objective Optimization? 124-137 - Yiming Peng, Hisao Ishibuchi:
Dynamic Multi-modal Multi-objective Optimization: A Preliminary Study. 138-150 - James Brookhouse, Alex Alves Freitas:
Fair Feature Selection with a Lexicographic Multi-objective Genetic Algorithm. 151-163 - Andrzej Jaszkiewicz, Piotr Zielniewicz:
Greedy Decremental Quick Hypervolume Subset Selection Algorithms. 164-178 - Damy M. F. Ha, Timo M. Deist, Peter A. N. Bosman:
Hybridizing Hypervolume-Based Evolutionary Algorithms and Gradient Descent by Dynamic Resource Allocation. 179-192 - Hemant Kumar Singh, Jürgen Branke:
Identifying Stochastically Non-dominated Solutions Using Evolutionary Computation. 193-206 - Elia Cunegatti, Giovanni Iacca, Doina Bucur:
Large-Scale Multi-objective Influence Maximisation with Network Downscaling. 207-220 - Diana Cristina Valencia-Rodríguez, Carlos Artemio Coello Coello:
Multi-Objective Evolutionary Algorithm Based on the Linear Assignment Problem and the Hypervolume Approximation Using Polar Coordinates (MOEA-LAPCO). 221-233 - Longcan Chen, Lie Meng Pang, Hisao Ishibuchi:
New Solution Creation Operator in MOEA/D for Faster Convergence. 234-246 - Renzo J. Scholman, Anton Bouter, Leah R. M. Dickhoff, Tanja Alderliesten, Peter A. N. Bosman:
Obtaining Smoothly Navigable Approximation Sets in Bi-objective Multi-modal Optimization. 247-262 - Adam Gaier, James Stoddart, Lorenzo Villaggi, Peter J. Bentley:
T-DominO - Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective. 263-277
Numerical Optimizaiton
- Qiqi Duan, Guochen Zhou, Chang Shao, Yijun Yang, Yuhui Shi:
Collective Learning of Low-Memory Matrix Adaptation for Large-Scale Black-Box Optimization. 281-294 - Oswin Krause:
Recombination Weight Based Selection in the DTS-CMA-ES. 295-308 - Tobias Glasmachers:
The (1+1)-ES Reliably Overcomes Saddle Points. 309-319
Real-World Applications
- Yue Xie, Aneta Neumann, Ty Stanford, Charlotte Lund Rasmussen, Dorothea Dumuid, Frank Neumann:
Evolutionary Time-Use Optimization for Improving Children's Health Outcomes. 323-337 - César Loaiza Quintana, Laura Climent, Alejandro Arbelaez:
Iterated Local Search for the eBuses Charging Location Problem. 338-351 - Adán José García, Julie Jacques, Alexandre Filiot, Julia Handl, David Launay, Vincent Sobanski, Clarisse Dhaenens:
Multi-view Clustering of Heterogeneous Health Data: Application to Systemic Sclerosis. 352-367 - Katarzyna Grzesiak-Kopec, Barbara Strug, Grazyna Slusarczyk:
Specification-Driven Evolution of Floor Plan Design. 368-381 - Guojun Gao, Lei Qiao, Dong Liu, Shifei Chen, He Jiang:
Surrogate-Assisted Multi-objective Optimization for Compiler Optimization Sequence Selection. 382-395
Theoretical Aspects of Nature-Inspired Optimization
- Benjamin Doerr, Zhongdi Qu:
A First Runtime Analysis of the NSGA-II on a Multimodal Problem. 399-412 - Adel Nikfarjam, Anh Viet Do, Frank Neumann:
Analysis of Quality Diversity Algorithms for the Knapsack Problem. 413-427 - Chao Bian, Chao Qian:
Better Running Time of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) by Using Stochastic Tournament Selection. 428-441 - Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Amirhossein Rajabi:
Escaping Local Optima with Local Search: A Theory-Driven Discussion. 442-455 - Vijay Dhanjibhai Bhuva, Duc-Cuong Dang, Liam Huber, Dirk Sudholt:
Evolutionary Algorithms for Cardinality-Constrained Ising Models. 456-469 - Benjamin Doerr, Marc Dufay:
General Univariate Estimation-of-Distribution Algorithms. 470-484 - Thomas Helmuth, Johannes Lengler, William G. La Cava:
Population Diversity Leads to Short Running Times of Lexicase Selection. 485-498 - Amir Omeradzic, Hans-Georg Beyer:
Progress Rate Analysis of Evolution Strategies on the Rastrigin Function: First Results. 499-511 - Zi-An Zhang, Chao Bian, Chao Qian:
Running Time Analysis of the (1+1)-EA Using Surrogate Models on OneMax and LeadingOnes. 512-525 - Feng Shi, Xiankun Yan, Frank Neumann:
Runtime Analysis of Simple Evolutionary Algorithms for the Chance-Constrained Makespan Scheduling Problem. 526-541 - Frank Neumann, Carsten Witt:
Runtime Analysis of the (1+1) EA on Weighted Sums of Transformed Linear Functions. 542-554 - Brahim Aboutaib, Andrew M. Sutton:
Runtime Analysis of Unbalanced Block-Parallel Evolutionary Algorithms. 555-568 - Marc Kaufmann, Maxime Larcher, Johannes Lengler, Xun Zou:
Self-adjusting Population Sizes for the (1, λ )-EA on Monotone Functions. 569-585 - Tobias Friedrich, Timo Kötzing, Frank Neumann, Aishwarya Radhakrishnan:
Theoretical Study of Optimizing Rugged Landscapes with the cGA. 586-599 - Dmitry Vinokurov, Maxim Buzdalov:
Towards Fixed-Target Black-Box Complexity Analysis. 600-611 - Duri Janett, Johannes Lengler:
Two-Dimensional Drift Analysis: - Optimizing Two Functions Simultaneously Can Be Hard. 612-625
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