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GECCO
2004
Springer
158views Optimization» more  GECCO 2004»
14 years 1 months ago
Adaptively Choosing Neighbourhood Bests Using Species in a Particle Swarm Optimizer for Multimodal Function Optimization
This paper proposes an improved particle swarm optimizer using the notion of species to determine its neighbourhood best values, for solving multimodal optimization problems. In th...
Xiaodong Li
GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
14 years 1 months ago
Bistability of the Needle Function in the Presence of Truncation Selection
It is possible for a GA to have two stable fixed points on a single-peak fitness landscape. These can correspond to meta-stable finite populations. This phenomenon is called bis...
Alden H. Wright, Greg Cripe
GECCO
2003
Springer
155views Optimization» more  GECCO 2003»
14 years 27 days ago
Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization
Abstract. This paper introduces a new technique called adaptive elitistpopulation search method for allowing unimodal function optimization methods to be extended to efficiently lo...
Kwong-Sak Leung, Yong Liang
JSYML
2011
87views more  JSYML 2011»
13 years 2 months ago
Benign cost functions and lowness properties
We show that the class of strongly jump-traceable c.e. sets can be characterised as those which have sufficiently slow enumerations so they obey a class of well-behaved cost functi...
Noam Greenberg, André Nies
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
14 years 1 months ago
Fitness-based neighbor selection for multimodal function optimization
We propose a selection scheme called Fitness-based Neighbor Selection (FNS) for multimodal optimization. The FNS is aimed for ill-scaled and locally multimodal domain, both found ...
Shin Ando, Shigenobu Kobayashi