应用并行进化策略求解柔性调度问题

Using Parallel Evolutionary Strategy to Solve the Flexible Scheduling Problem

该文研究应用多种群并行进化策略(MPES)求解FMS中的柔性调度问题。仿真结果表明,该算法能增强进化算法的全局收敛性,在多目标和复杂的多约束条件下,能得到满意的全局最优解。

The method to solve flexible scheduling problem in FMS with multigroup parallel ES is studied.Simulation results show that this method improves global convergence of evolutionary algorithm,and produces more satisfactory results under multiple objectives and complex multiple constaint conditions.