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GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
14 years 1 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
CEC
2008
IEEE
14 years 2 months ago
Differential evolution particle swarm optimization for digital filter design
— In this paper, swarm and evolutionary algorithms have been applied for the design of digital filters. Particle swarm optimization (PSO) and differential evolution particle swar...
Bipul Luitel, Ganesh K. Venayagamoorthy
CEC
2010
IEEE
13 years 8 months ago
Adaptive learning particle swarm optimizer-II for global optimization
This paper presents an updated version of the adaptive learning particle swarm optimizer (ALPSO) [6], we call it ALPSO-II. In order to improve the performance of ALPSO on multi-mod...
Changhe Li, Shengxiang Yang
CEC
2009
IEEE
14 years 2 months ago
An adaptive learning particle swarm optimizer for function optimization
— Traditional particle swarm optimization (PSO) suffers from the premature convergence problem, which usually results in PSO being trapped in local optima. This paper presents an...
Changhe Li, Shengxiang Yang
GECCO
2006
Springer
210views Optimization» more  GECCO 2006»
13 years 11 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