Sciweavers

46 search results - page 1 / 10
» Particle swarm with speciation and adaptation in a dynamic e...
Sort
View
101
Voted
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 3 months ago
Particle swarm with speciation and adaptation in a dynamic environment
This paper describes an extension to a speciation-based particle swarm optimizer (SPSO) to improve performance in dynamic environments. The improved SPSO has adopted several prove...
Xiaodong Li, Jürgen Branke, Tim Blackwell
EVOW
2008
Springer
15 years 1 months ago
Compound Particle Swarm Optimization in Dynamic Environments
Adaptation to dynamic optimization problems is currently receiving a growing interest as one of the most important applications of evolutionary algorithms. In this paper, a compoun...
Lili Liu, Dingwei Wang, Shengxiang Yang
GECCO
2003
Springer
163views Optimization» more  GECCO 2003»
15 years 5 months 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
EVOW
2007
Springer
15 years 5 months ago
Triggered Memory-Based Swarm Optimization in Dynamic Environments
In recent years, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are t...
Hongfeng Wang, Dingwei Wang, Shengxiang Yang
IPPS
2007
IEEE
15 years 6 months ago
Distributed Adaptive Particle Swarm Optimizer in Dynamic Environment
Particle Swarm Optimization (PSO) is a population-based stochastic optimization technique, which can be used to find an optimal, or near optimal, solution to a numerical and quali...
Xiaohui Cui, Thomas E. Potok