与其他混合最优化算法不同的是，该算法没有破坏粒子群和遗传算法的独立性，而是仅通过全局最优样本把两个算法结合在一起。
It selects the optimaler number as a global optimum at every circulation, which makes its result be better than both PSO and GA, then improves the overall performance of the algorithm.
与基本型遗传算法优化结果相比，粒子群算法效果要好于基本型遗传算法。
The simulation results showed that the Particle Swarm algorithms excelled genetic algorithms and roller mill can work more efficiently.
在对基本的算法的分析比较基础上，分析了一种基于克隆的免疫遗传算法、基于高低位变异的免疫算法、基于粒子群优化的免疫算法。
On this basis, I analyze Immune Algorithm based on Clone, Immune Algorithm based on High and Low Position and Immune Algorithm based on Particle Swarm Optimization.
粒子群优化算法；背包问题；遗传概率；
Particle Swarm Optimism; Knapsack Problem; genetic probability;
建立了集合划分问题的优化数学模型，结合遗传算法的思想提出的粒子群算法来解决集合划分问题。
This paper shows us a study of the division and combination problem of DE on the basis of division and combination history along with a division and combination perspective.
建立了集合划分问题的优化数学模型，结合遗传算法的思想提出的粒子群算法来解决集合划分问题。
This paper shows us a study of the division and combination problem of DE on the basis of division and combination history along with a division and combination perspective.
应用推荐