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.
针对简单遗传算法的局限性，提出了基于粒子群算法的遗传算法。
According to the limitations of simple genetic algorithms, design genetic algorithms based on particle swarm.
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