|本期目录/Table of Contents|

[1]张建明.基于改进量子进化算法的作业车间调度研究[J].浙江理工大学学报,2014,31-32(自科3):310-315.
 ZHANG Jian ming.A Novel Quantum Evolutionary Algorithm for Job shop Scheduling[J].Journal of Zhejiang Sci-Tech University,2014,31-32(自科3):310-315.
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基于改进量子进化算法的作业车间调度研究()
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浙江理工大学学报[ISSN:1673-3851/CN:33-1338/TS]

卷:
第31-32卷
期数:
2014年自科3期
页码:
310-315
栏目:
(自科)电子与信息技术
出版日期:
2014-05-10

文章信息/Info

Title:
A Novel Quantum Evolutionary Algorithm for Job shop Scheduling
文章编号:
1673-3851 (2014) 03-0310-06
作者:
张建明
浙江理工大学理学院, 310018 杭州
Author(s):
ZHANG Jian ming
School of Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, China
关键词:
作业车间调度 转换机制 量子进化 旋转角 跳跃算子
分类号:
TP18
文献标志码:
A
摘要:
针对作业车间调度问题,以最大完工时间最小化为优化目标,提出了跳跃基因量子进化算法(JGQEA)。该算法在量子进化算法的基础上引入跳跃基因算子,同时采用动态调整量子旋转角策略以提高算法的搜索能力。通过仿真实验验证了算法的有效性,结果表明JGQEA优于QEA等几种进化算法。

参考文献/References:

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相似文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2013-12-30
基金项目: 国家自然科学基金(10871181)
作者简介: 张建明(1972-),男,陕西延川人,博士、副教授,主要从事微分方程分支问题及智能计算方面的研究
更新日期/Last Update: 2014-05-19