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Multi-objective genetic algorithm for multistage-based job processing schedules in FMS environment
- Kim, Kwanwoo;
- Lee, Dongjoo;
- Jeong, In-Jae
Citations
SCOPUS
2초록
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.
키워드
FMS; Multi-objective genetic algorithm; Multistage-based job processing schedule; Genetic algorithms; Pareto principle; Random processes; Multi-objective genetic algorithms; Multistage-based job processing schedule; Scheduling
- 제목
- Multi-objective genetic algorithm for multistage-based job processing schedules in FMS environment
- 저자
- Kim, Kwanwoo; Lee, Dongjoo; Jeong, In-Jae
- 발행일
- 2007-05
- 유형
- Conference Paper
- 저널명
- 2007 IEEE International Conference on Control and Automation, ICCA
- 페이지
- 1705 ~ 1709