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GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
14 years 3 months ago
Visualizing the search process of particle swarm optimization
It is a hard problem to understand the search process of particle swarm optimization over high-dimensional domain. The visualization depicts the total search process and then it w...
Yong-Hyuk Kim, Kang Hoon Lee, Yourim Yoon
ICANNGA
2007
Springer
14 years 9 days ago
Particle Swarms for Multimodal Optimization
Abstract. In this paper, five previous Particle Swarm Optimization (PSO) algorithms for multimodal function optimization are reviewed. A new and a successful PSO based algorithm, n...
Ender Özcan, Murat Yilmaz
GECCO
2006
Springer
154views Optimization» more  GECCO 2006»
14 years 3 days ago
Dynamic fitness inheritance proportion for multi-objective particle swarm optimization
In this paper, we propose a dynamic mechanism to vary the probability by which fitness inheritance is applied throughout the run of a multi-objective particle swarm optimizer, in ...
Margarita Reyes Sierra, Carlos A. Coello Coello
SYNASC
2008
IEEE
277views Algorithms» more  SYNASC 2008»
14 years 2 months ago
An Adaptive Particle Swarm Optimizer Using Balanced Explorative and Exploitative Behaviors
Particle Swarm Optimization (PSO) has recently emerged as a nature inspired algorithm for real parameter optimization. This article describes a method for improving the final accur...
Sayan Ghosh, Debarati Kundu, Kaushik Suresh, Swaga...
GECCO
2003
Springer
130views Optimization» more  GECCO 2003»
14 years 1 months ago
A New Approach to Improve Particle Swarm Optimization
Abstract. Particle swarm optimization (PSO) is a new evolutionary computation technique. Although PSO algorithm possesses many attractive properties, the methods of selecting inert...
Liping Zhang, Huanjun Yu, Shangxu Hu