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GECCO
2003
Springer
245views Optimization» more  GECCO 2003»
13 years 5 months ago
A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization
Abstract. This paper introduces a modiļ¬ed PSO, Non-dominated Sorting Particle Swarm Optimizer (NSPSO), for better multiobjective optimization. NSPSO extends the basic form of PSO...
Xiaodong Li
GECCO
2006
Springer
154views Optimization» more  GECCO 2006»
13 years 3 months 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
BMCBI
2006
146views more  BMCBI 2006»
12 years 12 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
EVOW
2008
Springer
13 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
DEXAW
2008
IEEE
204views Database» more  DEXAW 2008»
13 years 6 months ago
Particle Swarm Optimization Using Adaptive Mutation
Two new variants of Particle Swarm Optimization (PSO) called AMPSO1 and AMPSO2 are proposed for global optimization problems. Both the algorithms use adaptive mutation using Beta ...
Millie Pant, Radha Thangaraj, Ajith Abraham
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