The convergence property and dynamic characteristics of the newly proposed population migration algorithm for solving global function optimization problems are analyzed by means of probability.
用概率论分析了新提出的求解函数全局优化问题的人口迁移算法的收敛性及动态特性。
By introduction of the ideology of population migration, the M-PSO algorithm keeps the convergence and has good performance such as optimization velocity and optimization results.
通过引入人口迁移的思想，在保证算法收敛性的同时，使M - PSO算法具有良好的优化速度和优化效果。
By introduction of the ideology of population migration, the M-PSO algorithm keeps the convergence and has good performance such as optimization velocity and optimization results.
通过引入人口迁移的思想，在保证算法收敛性的同时，使M - PSO算法具有良好的优化速度和优化效果。
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