A Genetic Algorithm for Job Shop Scheduling with Load Balancing-Reference-Cited by-同舟云学术

A Genetic Algorithm for Job Shop Scheduling with Load Balancing

Published:2005 Issue: Volume: Page:339-348
ISSN:0302-9743
Container-title:AI 2005: Advances in Artificial Intelligence
language:
Short-container-title:

Author:

Petrovic Sanja,Fayad Carole

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11589990_36

Reference10 articles.

1. Fayad, C., Petrovic, S.: A Genetic Algorithm for Real-World Job Shop Scheduling. In: Ali, M., Esposito, M. (eds.) The 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Bari, Italy, 22-25 June. LNCS (LNAI), vol. 3533. Springer, Heidelberg (2005)

2. Greene, W.: Dynamic Load-Balancing via a Genetic Algorithm. In: 13th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2001), Dallas, US, pp. 121–129 (2001)

3. Lecture Notes in Computer Science;D. Kranzlmuller,2004

4. Lecture Notes in Computer Science;S.-H. Lee,2004

5. Moon, D.H., Kim, D.K., Jung, J.Y.: An Operator Load-Balancing problem in a Semi-Automatic Parallel Machine Shop. Computers & Industrial Engineering 46, 355–362 (2004)

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fuzzy Logic-Based Production Scheduling and Rescheduling in the Presence of Uncertainty;International Series in Operations Research & Management Science;2011

2. An agent-based parallel approach for the job shop scheduling problem with genetic algorithms;Mathematical and Computer Modelling;2010-12

3. A Hybrid Genetic Algorithm for Hybrid Flow Shop Scheduling with Load Balancing;Key Engineering Materials;2008-10

4. Sensitivity analysis of a fuzzy multiobjective scheduling problem;International Journal of Production Research;2008-06-15