Sciweavers

350 search results - page 14 / 70
» Particle Swarm Optimization Using Adaptive Mutation
Sort
View
GECCO
2006
Springer
210views Optimization» more  GECCO 2006»
15 years 6 months ago
Adaptive diversity in PSO
Spatial Extension PSO (SEPSO) and Attractive-Repulsive PSO (ARPSO) are methods for artificial injection of diversity into particle swarm optimizers that are intended to encourage ...
Christopher K. Monson, Kevin D. Seppi
TSMC
2010
14 years 9 months ago
Particle Swarm Optimization With Composite Particles in Dynamic Environments
In recent years, there has been a growing interest in the study of particle swarm optimization (PSO) in dynamic environments. This paper presents a new PSO model, called PSO with c...
Lili Liu, Shengxiang Yang, Dingwei Wang
122
Voted
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
15 years 3 months ago
Runtime analysis of binary PSO
We investigate the runtime of the Binary Particle Swarm Optimization (PSO) algorithm introduced by Kennedy and Eberhart (1997). The Binary PSO maintains a global best solution and...
Dirk Sudholt, Carsten Witt
121
Voted
GECCO
2005
Springer
197views Optimization» more  GECCO 2005»
15 years 7 months ago
Breeding swarms: a GA/PSO hybrid
Abstract. In this paper we propose a novel hybrid (GA/PSO) algorithm, Breeding Swarm, combining the strengths of particle swarm optimization with genetic algorithms. The hybrid alg...
Matthew Settles, Terence Soule
CEC
2007
IEEE
15 years 8 months ago
Clonal particle swarm optimization and its applications
— Particle swarm optimization (PSO) is a stochastic global optimization algorithm inspired by social behavior of bird flocking in search for food, which is a simple but powerful...
Y. Tan, Z. M. Xiao