Particle Swarm Optimization Algorithm and Comparison with Genetic Algorithm
- Received Date: 2003-10-29
- Publish Date: 2005-10-15
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Key words:
- warm intelligence /
- particle swarm /
- genetic algorithm /
- optimization
Abstract: Particle swarm optimization, rooting from simulation of swarm of bird, solves optimization problem. Firstly, discusses particle swarm optimization algorithm principle and step of implementation, and then analyzes each of parameter. Particle swarm optimization algorithm compares with genetic algorithm through the same mathematic function. The comparative result indicates that Particle swarm optimization algorithm can obtain the optimum solutions more easily than genetic algorithm and it is a good optimization method with strong competition.
Citation: | SHEN Yan, GUO Bing, GU Tian-xiang. Particle Swarm Optimization Algorithm and Comparison with Genetic Algorithm[J]. Journal of University of Electronic Science and Technology of China, 2005, 34(5): 696-699. |