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GECCO
2008
Springer
180views Optimization» more  GECCO 2008»
14 years 21 days ago
An agent-based collaborative evolutionary model for multimodal optimization
A novel approach to multimodal optimization called Roaming Agent-Based Collaborative Evolutionary Model (RACE) combining several evolutionary techniques with agent-based modeling ...
Rodica Ioana Lung, Camelia Chira, Dumitru Dumitres...
GECCO
2004
Springer
158views Optimization» more  GECCO 2004»
14 years 5 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
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 5 months ago
An artificial immune network for multimodal function optimization on dynamic environments
Multimodal optimization algorithms inspired by the immune system are generally characterized by a dynamic control of the population size and by diversity maintenance along the sea...
Fabrício Olivetti de França, Fernand...
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
14 years 5 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
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
14 years 5 months ago
A new evolutionary model for detecting multiple optima
Multimodal optimization problems consist in detecting all global and local optima of a problem. A new evolutionary approach to multimodal optimization called Roaming technique (RO...
Rodica Ioana Lung, D. Dumitrescu
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
14 years 5 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