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39 search results - page 2 / 8 » Dynamic adaptation and multiobjective concepts in a particle... |
GECCO
2003
Springer
13 years 5 months ago
2003
Springer
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...
GECCO
2006
Springer
13 years 3 months ago
2006
Springer
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 ...
BMCBI
2006
12 years 12 months ago
2006
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
EVOW
2008
Springer
13 years 1 months ago
2008
Springer
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...
DEXAW
2008
IEEE
13 years 6 months ago
2008
IEEE
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 ...
