应用遗传算法求解模糊参数的单机调度问题

Method for Solving Single Machine Scheduling Problems with Fuzzy Parameters Using Genetic Algorithm

  • 摘要: 应用遗传算法求解基于可能性理论的模糊参数单机调度问题.在单机调度问题中,作业处理时间和要求完成期限均为模糊数,而作业的权重是正的精确数.在设计的遗传算法中,个体基因的表示采用整数排列,交叉操作使用交换子串的交叉算子,变异操作使用移动变异算子,个体评价使用基于序的评价函数.最后用算例说明算法的有效性.

     

    Abstract: The use of genetic algorithm(GA) as heuristic search method to solve the single machine scheduling problems with fuzzy parameters based on possibility theory is considered.The processing times and the due dates are nonnegative fuzzy numbers and all the weights are positive,crisp numbers.For simplicity,an integer permutation as a feasible sequence to represent a candidate solution is adopted.Substring exchange crossover and shift mutation are adopted to guarantee the legitimation of offspring.Rank-based evaluation function is used to assign a probability of reproduction to each chromosome.Numerical example is provided to illustrate the effectiveness of the proposed algorithm.

     

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