改进离散差分进化算法在分布式车间调度问题中的应用
首发时间:2015-11-05
摘要:随着网络技术的发展分散网络化制造逐渐引起人们的关注。分布式车间调度是分散网络化制造的一种实现手段。为了解决分布式车间调度,针对差分进化算法的连续特性,提出一种改进离散差分进化算法。该算法采用基于工件的编码方式,面对解决离散问题时交叉操作产生不可行解的情况,从原理上对交叉操作进行修复,确保离散后的算法最大程度贴近原算法,使原算法准确性和高效性得到延续。用提出的算法求解分布式车间调度问题实例,结果表明此算法是一种求解分布式车间调度问题的有效算法。
For information in English, please click here
Modified discrete differential evolution algorithm for distributed Job Shop Scheduling Problem
Abstract:With the development of network technology, it has gradually attracted people's attention. Distributed job shop scheduling is one of the means to realize the distributed network manufacturing. In order to solve the distributed job shop scheduling ,aiming the continuous characteristics of differential evolution algorithm an improved discrete differential evolution algorithm is proposed. The algorithm code by artifact and improved the crossover operator to directly generate feasible solutions. It can ensure the discrete algorithms can be most close to the original algorithm, and the accuracy and high efficiency can be carry on. Use the algorithms to test the Distributed Job Shop Scheduling Problems, the results indicate the effectiveness of the proposed algorithms.
Keywords: distributed job shop scheduling problem differential evolution algorithm discretization
基金:
论文图表:
引用
No.4659205110484914****
同行评议
共计0人参与
勘误表
改进离散差分进化算法在分布式车间调度问题中的应用
评论
全部评论0/1000