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Job-shop调度问题的离散布谷鸟搜索算法求解
引用本文:储泽楠,王庆喜. Job-shop调度问题的离散布谷鸟搜索算法求解[J]. 信阳师范学院学报(自然科学版), 2015, 0(3): 442-445
作者姓名:储泽楠  王庆喜
作者单位:安阳工学院计算机科学与信息工程学院,河南安阳,455000
基金项目:国家科技重大专项项目(2012ZX04011-012);国家自然科学基金项目(U1204613);河南省重点科技攻关项目(142102310188);安阳工学院青年科研基金项目
摘    要:在布谷鸟搜索算法的基础上,提出了一种基于升序排列的离散布谷鸟搜索算法(DCS),使用该算法求解Job-shop的经典LA问题.仿真数据显示,该算法在收敛速度、精度和稳定性方面都明显优于粒子群优化算法和萤火虫优化算法,显示出DCS算法的可行性和有效性.

关 键 词:作业车间调度  布谷鸟搜索算法  升序排列规则

Discrete Cuckoo Search Algorithm for Job-shop Scheduling Problem
Chu Ze’ nan,Wang Qingxi. Discrete Cuckoo Search Algorithm for Job-shop Scheduling Problem[J]. Journal of Xinyang Teachers College(Natural Science Edition), 2015, 0(3): 442-445
Authors:Chu Ze’ nan  Wang Qingxi
Affiliation:,Department of Computer Science and Information Engineering,Anyang Institute of Technology
Abstract:Based on Cuckoo search algorithm and Ranked Order Value,a kind of discrete Cuckoo search algorithm( DCS) was proposed. The classic LA of Job-shop problem was solved by using the DCS,the results of simulation data showed that the convergence speed,accuracy and stability of the proposed algorithm were much better than that of PSO and fireflies optimization algorithm,which proved the feasibility and effectiveness of the DCS algorithm.
Keywords:job shop scheduling  Cuckoo search algorithm  ranked order value
本文献已被 CNKI 等数据库收录!
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