At last, an effective algorithm model taking advance of a skillful encoding method is designed and called ACGA with self-adaptation adjustment of parameters based on cloud models.
最后，针对模型的具体特点，设计模型解的编码方式，并采用基于云模型的参数自适应蚁群遗传算法进行仿真，结果表明了模型和算法的有效性。
The key in using particle swarm algorithm to optimize the scheduling problem is to find an effective and feasible encoding structure.
利用粒子群算法求解调度问题的关键是建立有效的粒子编码结构。
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