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GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
14 years 1 months ago
An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization
We focus on the handling of overlapping solutions in evolutionary multiobjective optimization (EMO) algorithms. First we show that there exist a large number of overlapping soluti...
Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima
WSC
1998
13 years 9 months ago
Evaluating Adaptive Signal Control Using CORSIM
This paper discusses the evaluation of adaptive traffic signal control using TSIS/CORSIM. The paper reviews three adaptive control strategies that have been developed through cont...
Charles Stallard, Larry E. Owen
CEC
2005
IEEE
13 years 9 months ago
Making soccer kicks better: a study in particle swarm optimization and evolution strategies
Biomechanics is a science of examining the internal and external forces on the human body. In biomechanics, forward dynamics simulation models can be used to study optimal control ...
Namrata Khemka, Christian Jacob, Gerald Cole
CEC
2009
IEEE
14 years 2 months ago
Dynamic optimization using Self-Adaptive Differential Evolution
Abstract— In this paper we investigate a Self-Adaptive Differential Evolution algorithm (jDE) where F and CR control parameters are self-adapted and a multi-population method wit...
Janez Brest, Ales Zamuda, Borko Boskovic, Mirjam S...
EOR
2006
135views more  EOR 2006»
13 years 7 months ago
Principles of scatter search
Scatter search is an evolutionary method that has been successfully applied to hard optimization problems. The fundamental concepts and principles of the method were first propose...
Rafael Martí, Manuel Laguna, Fred Glover