Title :
Multi-objective Genetic Algorithm for Multistage-based Job Processing Schedules in FMS Environment
Author :
Kim, KwanWoo ; Lee, DongJoo ; Jeong, In-Jae
Author_Institution :
Hanyang Univ., Seoul
fDate :
May 30 2007-June 1 2007
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.
Keywords :
Pareto analysis; flexible manufacturing systems; genetic algorithms; scheduling; FMS environment; Pareto solution; multiobjective genetic algorithm; multistage-based job processing schedules; random-weight approach; variable search direction; Automatic control; Automation; Flexible manufacturing systems; Genetic algorithms; Industrial engineering; Job shop scheduling; Mathematical programming; Optimal scheduling; Processor scheduling; Scheduling algorithm; FMS; Multi-objective genetic algorithm; Multistage-based job processing schedule; component;
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0817-7
Electronic_ISBN :
978-1-4244-0818-4
DOI :
10.1109/ICCA.2007.4376652
