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模拟退火并行粒子群优化算法程序设计与研究 被引量:8

Design and Study of Particle Swarm Optimization with Simulated Annealing
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摘要 针对粒子群优化算法后期收敛差和模拟退火算法全局优化能力强的特点,建立模拟退火并行粒子群优化算法(SA-PSO算法)模型。利用MATLAB语言开发SA-PSO算法工具箱,实现SA-PSO算法的程序设计,高效、稳定地提高算法全局寻优能力。 The SA-PSO model is established based on the characteristics of poor convergence of the particle swarm optimization and great power of global optimization of simulated annealing. The MATLAB is employed to develop the SA-PSO Algorithm Tool Box to realize its programming and improve the power of global optimization effectively and stably.
出处 《百色学院学报》 2006年第6期9-12,共4页 JOURNAL OF BAISE UNIVERSITY
关键词 模拟退火 粒子群优化算法 MATLAB 程序设计 simulated annealing particle swarm optimization MATLAB programming
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