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解决Job Shop调度问题的模拟退火算法改进 被引量:14

Improved Simulated Annealing Algorithm for Job Shop Schedule
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摘要 模拟退火算法是较常用和较理想的解决车间作业调度问题的方法,但由于算法本身的限制和JSP问题的特殊性,其效能难以很好地发挥。该文提出了2种针对JSP问题的改进模拟退火算法:回火退火算法和快速模拟退火算法,前者可以提高最终解质量,后者可以提高算法的运行速度;并以Matlab为工具进行了仿真实验,获得了较好效果。 Simulated annealing algorithm is a kind of preferable algorithms on solving job shop schedule problem. However, because of its inborn limitation and constraints from the job shop environment, its effect is impaired. Two improved SA are proposed: one is temper-SA, which can improve the quality of the solution; the othcr is fast-SA, which can shorten the running time of the algorithm. A job shop schedule example is described, which is solved with normal SA, temper-SA and fast-SA respectively.
出处 《计算机工程》 EI CAS CSCD 北大核心 2006年第21期38-40,共3页 Computer Engineering
关键词 模拟退火算法 回火退火算法 快速模拟退火算法 作业车间调度问题 局部搜索算法 Simulated annealing algorithm (SA) Temper-SA FasE-SA Job shop scheduling problem (JSP) Local search algorithm (LSA)
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参考文献3

  • 1王万良,宋毅,吴启迪.求解作业车间调度问题的双倍体遗传算法与软件实现[J].计算机集成制造系统-CIMS,2004,10(1):65-69. 被引量:18
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二级参考文献5

  • 1[8]CHENG R, GEN M, TSUJIMURA Y. A tutorial survey of job-shop scheduling problems using genetic algorithms-I[J].Representation, Computers & Industrial Engineering,1996,30(4):983-997.
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