Ausgabe 6/2013
Special issue on Evolutionary Computing and Complex Systems
Inhalt (14 Artikel)
Editorial
Special issue on evolutionary computing and complex systems
Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Oliver Schütze, Carlos A. Coello Coello, Pierre Del Moral
Methodologies and Application
Population-based optimization of cytostatic/cytotoxic combination cancer chemotherapy
Gabriela Ochoa, Minaya Villasana
Original Paper
Community detection in complex networks using extended compact genetic algorithm
Jianwu Li, Yulong Song
Focus
A multi-objective artificial physics optimization algorithm based on ranks of individuals
Yan Wang, Jian-chao Zeng
Focus
GAssist vs. BioHEL: critical assessment of two paradigms of genetics-based machine learning
María A. Franco, Natalio Krasnogor, Jaume Bacardit
Methodologies and Application
An artificial bee colony algorithm for learning Bayesian networks
Junzhong Ji, Hongkai Wei, Chunnian Liu
Focus
Best practices in measuring algorithm performance for dynamic optimization problems
Hajer Ben-Romdhane, Enrique Alba, Saoussen Krichen
Focus
A performance study on synchronicity and neighborhood size in particle swarm optimization
Juan Rada-Vilela, Mengjie Zhang, Winston Seah
Methodologies and Application
Computational results for an automatically tuned CMA-ES with increasing population size on the CEC’05 benchmark set
Tianjun Liao, Marco A. Montes de Oca, Thomas Stützle
Focus
Constrained particle swarm algorithms for optimizing coverage of large-scale camera networks with mobile nodes
Yi-Chun Xu, Bangjun Lei, Emile A. Hendriks
Methodologies and Application
Service oriented evolutionary algorithms
P. García-Sánchez, J. González, P. A. Castillo, M. G. Arenas, J. J. Merelo-Guervós
Methodologies and Application
Scalability and robustness of parallel hyperheuristics applied to a multiobjectivised frequency assignment problem
Carlos Segura, Eduardo Segredo, Coromoto León
Open Access
Methodologies and Application
Code reordering using local random extraction and insertion (LREI) operator for GPGPU-based track-before-detect systems
Przemysław Mazurek