Flexible job shop fuzzy scheduling method based on immune genetic algorithm

被引：0
作者：
Cai, Yuan [1 ]
Chen, Jinhua [1 ]
机构：
[1] Changzhou College of Information Technology, Changzhou,213164, China
来源：
Academic Journal of Manufacturing Engineering | 2018年 / 16卷 / 04期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
19
引用
收藏
页码：89 / 94
相关论文
共 50 条
[31]   A Genetic Algorithm for the Flexible Job-Shop Scheduling Problem [J].
Wang, Jin Feng ;
Du, Bi Qiang ;
Ding, Hai Min .
ADVANCED RESEARCH ON COMPUTER SCIENCE AND INFORMATION ENGINEERING, PT I, 2011, 152 :332-339
[32]   An Improved Genetic Algorithm for Flexible Job Shop Scheduling Problem [J].
Jiang Liangxiao ;
Du Zhongjun .
2015 2ND INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING ICISCE 2015, 2015, :127-131
[33]   A genetic algorithm for the Flexible Job-shop Scheduling Problem [J].
Pezzella, F. ;
Morganti, G. ;
Ciaschetti, G. .
COMPUTERS & OPERATIONS RESEARCH, 2008, 35 (10) :3202-3212
[34]   Genetic algorithm for the flexible job-shop scheduling problem [J].
Kacem, I .
2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS, 2003, :3464-3469
[35]   A genetic algorithm for a Bicriteria flexible job shop scheduling problem [J].
Vilcot, Geoffrey ;
Billaut, Jean-Charles ;
Esswein, Carl .
2006 INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT, VOLS 1 AND 2, PROCEEDINGS, 2006, :1240-1244
[36]   An Improved Adaptive Genetic Algorithm in Flexible Job Shop Scheduling [J].
Huang Ming ;
Wang Lu-ming ;
Liang Xu .
PROCEEDINGS OF 2016 2ND INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTERNET OF THINGS (CCIOT), 2016, :177-184
[37]   Flexible Job-Shop Scheduling Problem by Genetic Algorithm [J].
Ida, Kenichi ;
Oka, Kensaku .
ELECTRICAL ENGINEERING IN JAPAN, 2011, 177 (03) :28-35
[38]   Hybrid fuzzy genetic algorithm for the integration of process planning and scheduling for distributed flexible job shop [J].
Murad Samhouri ;
Sarah Z. Qareish .
Neural Computing and Applications, 2025, 37 (4) :2775-2798
[39]   A multi-objective genetic algorithm for fuzzy flexible job-shop scheduling problem [J].
Wang, Xiaojuan ;
Gao, Liang ;
Zhang, Chaoyong ;
Li, Xinyu .
INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2012, 45 (2-3) :115-125
[40]   A genetic algorithm for flexible job shop scheduling based on two-substring gene coding method [J].
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China ;
不详 .
Harbin Gongye Daxue Xuebao, 2007, 7 (1151-1153)
12345