粒子群优化(PSO)算法对于多峰搜索问题一直存在早熟收敛问题。
Particle Swarm Optimization (PSO) algorithm has existed premature convergence for multimodal search problems.
多峰值函数优化结果表明，该算法可以有效地解决早熟收敛问题，更易达到全局最优解。
The optimization result of multi-peak value function shows that the algorithm presented can solve premature convergence problem effectively and converge to the globally optimal solution.
该算法具有很强的全局搜索能力，寻优效率高，有效克服了传统遗传算法的早熟收敛问题。
This algorithm characterizes with global search ability, efficiency in search and avoiding premature phenomena which often occurs in traditional GA.
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