Computational Complexity
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Complexity".
Deadline for manuscript submissions: closed (30 April 2016) | Viewed by 75937
Special Issue Editors
Interests: complex systems modelling; automation and robotics; fractional order systems modelling and control; data analysis and visualization
Special Issues, Collections and Topics in MDPI journals
Interests: nonlinear dynamics; fractional calculus; modeling; control; evolutionary computing; genomics; robotics, complex systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Complex systems (CS) are composed of many parts that interact dynamically with each other at different scales in time and space. They possess the capability to evolve, to adapt, and to self-organize, revealing a collective behavior that is much richer than the one exhibited by their individual components. The high sensitivity of CS to initial conditions and their characteristic emergent behavior, give rise to large-scale dynamics that cannot be described by a single rule, nor reduced to just one level of description. The issues in modeling CS have led to the development of novel computational and modeling tools with applications to a wide range of scientific areas. The computational problems posed by CS exhibit intrinsic difficulties, being a major concern in Computational Complexity Theory.
This Special Issue focuses on new theoretical and practical findings, and computational methods, applicable to difficult problems, whose solution demands for extensive and powerful resources, approaching the limits of the available computer systems. Submissions addressing novel issues, as well as those on more specific topics illustrating the broad impact of computational complexity theory in computer science, mathematics, physics, engineering, geophysics, social science, among others, are welcomed.
All papers should fit the scope of the journal Entropy. The topics of interest include (but are not limited to):
- Agent based modeling and simulation
- Advanced computational applications in geosciences, physics, mathematics, engineering, finance, economy, medicine, biology, and social science
- Complex networks
- Data mining and knowledge discovery
- Intelligent systems
- Probability and statistics in complex systems
- Quantum information science
- Novel computational schemes
Prof. Dr. J. A. Tenreiro Machado
Prof. Dr. António M. Lopes
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Complexity
- Complex systems
- Computation theory
- Simulation and Modeling
- Entropy
- Information
- Algorithms
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