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Multi-objective genetic algorithm for multistage-based job processing schedules in FMS environment
- Authors
- Kim, Kwanwoo; Lee, Dongjoo; Jeong, In-Jae
- Issue Date
- May-2007
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- FMS; Multi-objective genetic algorithm; Multistage-based job processing schedule
- Citation
- 2007 IEEE International Conference on Control and Automation, ICCA, pp.1705 - 1709
- Indexed
- SCOPUS
- Journal Title
- 2007 IEEE International Conference on Control and Automation, ICCA
- Start Page
- 1705
- End Page
- 1709
- ISSN
- 0000-0000
- Abstract
- In this paper, we propose a multi-objective genetic algorithm for effectively solving multistage-based job processing schedules in FMS environment. The proposed method is random-weight approach to obtaining a variable search direction toward Pareto solution. The objectives are to minimize the makespan and the total flow time, simultaneously. The feasibility and adaptability of the proposed moGA are investigated through experimental results.
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Related Researcher
- Jeong, In Jae
- COLLEGE OF ENGINEERING (DEPARTMENT OF INDUSTRIAL ENGINEERING)