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混合遗传算法求解经典作业车间调度问题
引用本文:丁书斌,李启堂,徐继涛,王敏.混合遗传算法求解经典作业车间调度问题[J].煤矿机械,2007,28(1):22-24.
作者姓名:丁书斌  李启堂  徐继涛  王敏
作者单位:大连理工大学,精密与特种加工教育部重点实验室,辽宁,大连,116024
摘    要:在研究遗传算法和模拟退火算法的基础上,提出了求解经典作业车间调度问题的混合遗传算法的设计方案,并提出了一个新的编码方法,阐述了相应编码的解码规则。仿真计算验证了混合算法的可行性和有效性。

关 键 词:遗传算法  模拟退火算法  车间调度  优化
文章编号:1003-0794(2007)01-0022-03
修稿时间:2006-08-24

Solving Typical Job Shop Scheduling Problem Using Hybrid Genetic Algorithm
DING Shu-bin,LI Qi-tang,XU Ji-tao,WANG Min.Solving Typical Job Shop Scheduling Problem Using Hybrid Genetic Algorithm[J].Coal Mine Machinery,2007,28(1):22-24.
Authors:DING Shu-bin  LI Qi-tang  XU Ji-tao  WANG Min
Affiliation:Key Laboratory for Precision and Non- traditional Machining Technology of Ministry Education, Dalian University of Technology,Dalian 116024,China
Abstract:On the basic research of genetic algorithm and simulated annealing, a new scheme of hybrid genetic algorithm for typical job shop scheduling was proposed, a new encoding method was presented, the corresponding decode nethod was established also. The result of simulation shows its feasibilities and availabilities.
Keywords:genetic algorithm  simulated annealing  job shop scheduling  optimization
本文献已被 CNKI 维普 万方数据 等数据库收录!
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