Ausgabe 9/2011
Special Issue on Evolutionary Optimization and Learning
Inhalt (14 Artikel)
Editorial
Guest Editorial: special issue on evolutionary optimisation and learning
Mengjie Zhang, Michael Kirley, Xiaodong Li
Focus
Crossover can be constructive when computing unique input–output sequences
Per Kristian Lehre, Xin Yao
Focus
A framework for generating tunable test functions for multimodal optimization
Jani Rönkkönen, Xiaodong Li, Ville Kyrki, Jouni Lampinen
Focus
Weighted local sharing and local clearing for multimodal optimisation
Grant Dick, Peter A. Whigham
Focus
Dynamic combinatorial optimisation problems: an analysis of the subset sum problem
Philipp Rohlfshagen, Xin Yao
Focus
The use of coevolution and the artificial immune system for ensemble learning
Bruno H. G. Barbosa, Lam T. Bui, Hussein A. Abbass, Luis A. Aguirre, Antônio P. Braga
Focus
Implementation of cellular genetic algorithms with two neighborhood structures for single-objective and multi-objective optimization
Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima
Focus
Improving the performance and scalability of Differential Evolution on problems exhibiting parameter interactions
Antony W. Iorio, Xiaodong Li
Focus
Particle swarm optimisation based AdaBoost for object detection
Ammar Mohemmed, Mark Johnston, Mengjie Zhang
Original Paper
Searching for knee regions of the Pareto front using mobile reference points
Slim Bechikh, Lamjed Ben Said, Khaled Ghédira
Original Paper
An improved algorithm on the content of realizable fuzzy matrices
Yan Mo, Xue-ping Wang
Original Paper
Fuzzy region assignment for visual tracking
Jesus Garcia, Miguel A. Patricio, Antonio Berlanga, Jose M. Molina
Original Paper
Depth-control strategies for crossover in tree-based genetic programming
Huayang Xie, Mengjie Zhang