【摘 要】
：
提出关于属性的对偶思想,将对偶机制的遗传算法推广到顺序编码动态优化问题中;引入群论中置换的概念表示对偶的属性,并提出基于置换的对偶遗传算法,该算法根据置换的性质构造
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提出关于属性的对偶思想,将对偶机制的遗传算法推广到顺序编码动态优化问题中;引入群论中置换的概念表示对偶的属性,并提出基于置换的对偶遗传算法,该算法根据置换的性质构造学习算子和不完全对偶算子,在保持种群多样性的同时兼顾搜索精度.算法应用于交货期动态变化的单机总权重拖期时间最小化问题,取得了满意的结果.
In this paper, the duality idea of attribute is proposed. The dual genetic algorithm is generalized to the sequential encoding dynamic optimization problem. The concept of permutation in group theory is introduced to represent the duality of attributes and a dual genetic algorithm based on permutation is proposed. Learning operator and incomplete dual operator, taking into account the search accuracy while keeping the diversity of population.The algorithm is applied to the problem of minimizing the dead time of the single machine’s total weight with the dynamic change of delivery time, and the satisfactory result is obtained.
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