Particle swarm optimization and fitness sharing to solve multi-objective optimization problems

The particle swarm optimization algorithm has been shown to be a competitive heuristic to solve multi-objective optimization problems. Also, fitness sharing concepts have shown to be significant when used by multi-objective optimization methods. In this paper we introduce an algorithm that makes use...

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Bibliographic Details
Main Authors: Salazar-Lechuga, M., Rowe, J.E.
Format: Conference Proceeding
Language:English
Subjects:
Birds
Computational efficiency
Computer science
Evolutionary computation
Optimization methods
Pareto optimization
Particle swarm optimization
Performance evaluation
Space exploration
Testing
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Summary:The particle swarm optimization algorithm has been shown to be a competitive heuristic to solve multi-objective optimization problems. Also, fitness sharing concepts have shown to be significant when used by multi-objective optimization methods. In this paper we introduce an algorithm that makes use of these two main concepts, particle swarm optimization and fitness sharing to tackle multi-objective optimization problems.
ISSN:1089-778X
1941-0026
DOI:10.1109/CEC.2005.1554827