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» A Clustering Based Niching EA for Multimodal Search Spaces
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83
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AE
2003
Springer
15 years 3 months ago
A Clustering Based Niching EA for Multimodal Search Spaces
Abstract. We propose a new niching method for Evolutionary Algorithms which is able to identify and track global and local optima in a multimodal search space. To prevent the loss ...
Felix Streichert, Gunnar Stein, Holger Ulmer, Andr...
84
Voted
CEC
2005
IEEE
15 years 3 months ago
Dynamic niching in evolution strategies with covariance matrix adaptation
Abstract- Evolutionary Algorithms (EAs) have the tendency to converge quickly into a single solution in the search space. However, many complex search problems require the identi...
Ofer M. Shir, Thomas Bäck
112
Voted
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 4 months ago
A multimodal particle swarm optimizer based on fitness Euclidean-distance ratio
One of the most critical issues that remains to be fully addressed in existing multimodal evolutionary algorithms is the difficulty in pre-specifying parameters used for estimatin...
Xiaodong Li
78
Voted
GECCO
2003
Springer
132views Optimization» more  GECCO 2003»
15 years 3 months ago
Evolutionary Multimodal Optimization Revisited
Abstract. We revisit a class of multimodal function optimizations using evolutionary algorithms reformulated into a multiobjective framework where previous implementations have nee...
Rajeev Kumar, Peter Rockett
86
Voted
ESCIENCE
2006
IEEE
15 years 4 months ago
Niching for Population-Based Ant Colony Optimization
Most Ant Colony Optimization (ACO) algorithms are able to find a single (or few) optimal, or near-optimal, solutions to difficult (NP-hard) problems. An issue though is that a s...
Daniel Angus