A New Unified Model of Particle Swarm Optimization and Its Theoretical Analysis

Zeng Jianchao and Cui Zhihua

Journal of Computer Research and Development > 2006 > 43(1): 96-100.

Zeng Jianchao and Cui Zhihua. A New Unified Model of Particle Swarm Optimization and Its Theoretical Analysis[J]. Journal of Computer Research and Development, 2006, 43(1): 96-100.

Citation:

Zeng Jianchao and Cui Zhihua. A New Unified Model of Particle Swarm Optimization and Its Theoretical Analysis[J]. Journal of Computer Research and Development, 2006, 43(1): 96-100.

Citation:

Zeng Jianchao and Cui Zhihua. A New Unified Model of Particle Swarm Optimization and Its Theoretical Analysis[J]. Journal of Computer Research and Development, 2006, 43(1): 96-100.

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A New Unified Model of Particle Swarm Optimization and Its Theoretical Analysis

Zeng Jianchao and Cui Zhihua

(Division of System Simulation And Computer Application, Taiyuan University of Science and Technology, Taiyuan 030024)

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Published Date: January 14, 2006

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Abstract

Abstract

Through mechanism analysis of several modified particle swarm optimizations (PSO), a new uniform model of PSO is described, and the convergence is analysed with linear control theory. To improve the calculation efficiency, two enhanced global search capability self-adaptive PSOs, one-population self-adaptive PSO and two-population self-adaptive PSO, are proposed. The one-population self-adaptive PSO uses the diverse coefficients in the first evolutionary strategy. The two-population self-adaptive PSO uses two different populations: one owns global search capability, and the other owns local search, and through exchanging information the algorithm efficiency is improved. The simulation results show the correctness and efficiency of the presented methods.
- unified model,
- convergence,
- self-adaptive,
- particle swarm optimization

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