| 求解PFSP的双种群协同学习算法 |
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| 引用本文： | 亓祥波,朱云龙,张丁一.求解PFSP的双种群协同学习算法[J].控制与决策,2017,32(1):12-20. |
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| 作者姓名： | 亓祥波 朱云龙 张丁一 |
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| 作者单位： | 中国科学院沈阳自动化研究所,沈阳110016;中国科学院大学,北京100049,中国科学院沈阳自动化研究所,沈阳110016,中国科学院沈阳自动化研究所,沈阳110016 |
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| 基金项目： | 国家杰出青年科学基金项目(61174164, 51205389)；辽宁省自然科学基金项目(2015020163) |
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| 摘 要： | 在人工蜜蜂群算法的基础上, 提出一种双种群协同学习算法.该算法根据个体适应度高低把蜜蜂群划分为 两个子群, 并重新定义子群的学习交流机制.在10个常用的基准测试函数上与其他4个常用的群体智 能算法进行比较, 比较结果表明, 所提出算法的性能有明显改进.采用双种群协同学习算法求解置换流水车间调度问题, 在一 些著名的中大规模测试问题包括21个Reeves实例和40个Taillard实例上进行 测试, 结果表明, 所提出的算法优于其他算法, 能有效解决置换流水车间调度问题.
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| 关 键 词： | 协同学习 置换流水车间调度 智能算法 |
| 收稿时间： | 2015/12/18 0:00:00 |
| 修稿时间： | 2015/12/18 0:00:00 |
Double population co-learning algorithm for permutation flow-shop scheduling problems |
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| QI Xiang-bo,ZHU Yun-long and ZHANG Ding-yi.Double population co-learning algorithm for permutation flow-shop scheduling problems[J].Control and Decision,2017,32(1):12-20. |
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| Authors: | QI Xiang-bo ZHU Yun-long and ZHANG Ding-yi |
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| Affiliation: | Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China;University of Chinese Academy of Sciences,Beijing 100049,China,Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China and Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China |
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| Abstract: | Based on the artificial bee colony(ABC) algorithm, a double population co-learning(DPCL) algorithm is proposed.A population is divided into two populations according to their fitness.The individuals of each population are updated according to the given learning rules.With a test on ten benchmark functions, the proposed DPCL algorithm is proved to have significant improvement over canonical ABC and several other comparison algorithms.The DPCL algorithm is then employed for permutation flow-shop scheduling problem(PFSP).Twenty-one Reeves instances and forty Taillard instances are used.The results show that the DPCL algorithm can obtain better results than other algorithms, and is a competitive approach for PFSP. |
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