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GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
14 years 1 months ago
A new collaborative evolutionary-swarm optimization technique
A new hybrid approach to optimization in dynamical environments called Collaborative Evolutionary-Swarm Optimization (CESO) is presented. CESO tracks moving optima in a dynamical ...
Rodica Ioana Lung, D. Dumitrescu
GECCO
2003
Springer
163views Optimization» more  GECCO 2003»
14 years 18 days ago
Swarms in Dynamic Environments
Charged particle swarm optimization (CPSO) is well suited to the dynamic search problem since inter-particle repulsion maintains population diversity and good tracking can be achie...
T. M. Blackwell
CEC
2008
IEEE
14 years 1 months ago
Solving large scale global optimization using improved Particle Swarm Optimizer
—As more and more real-world optimization problems become increasingly complex, algorithms with more capable optimizations are also increasing in demand. For solving large scale ...
Sheng-Ta Hsieh, Tsung-Ying Sun, Chan-Cheng Liu, Sh...
ANTSW
2006
Springer
13 years 11 months ago
Applying Aspects of Multi-robot Search to Particle Swarm Optimization
Abstract. We present a modified version of the Particle swarm Optimization algorithm in which we adjust the virtual swarm search by incorporating inter-agent dynamics native to mul...
Jim Pugh, Loïc Segapelli, Alcherio Martinoli
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 8 months ago
Integrating user preferences with particle swarms for multi-objective optimization
This paper proposes a method to use reference points as preferences to guide a particle swarm algorithm to search towards preferred regions of the Pareto front. A decision maker c...
Upali K. Wickramasinghe, Xiaodong Li