標題: A novel approach to production planning of flexible manufacturing systems using an efficient multi-objective genetic algorithm
作者: Chen, JH
Ho, SY
生物資訊及系統生物研究所
Institude of Bioinformatics and Systems Biology
關鍵字: flexible manufacturing system;multi-objective optimization;genetic algorithm;production planning
公開日期: 1-六月-2005
摘要: In this paper, a novel approach using an efficient multi-objective genetic algorithm EMOGA is proposed to solve the problems of production planning of flexible manufacturing systems (FMSs) having four objectives: minimizing total flow time, machine workload unbalance. greatest machine workload and total tool cost. EMOGA makes use of Pareto dominance relationship to solve the problems without using relative preferences of multiple objectives. High efficiency of EMOGA arises from that multiple objectives can be optimized simultaneously Without using heuristics and a set of good non-dominated Solutions can be obtained providing additional degrees of freedom for the exploitation of resources of FMSs. Experimental results demonstrate effectiveness of the proposed approach using EMOGA to]production planning of FMSs. (c) 2004 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.ijmachtools.2004.10.010
http://hdl.handle.net/11536/13615
ISSN: 0890-6955
DOI: 10.1016/j.ijmachtools.2004.10.010
期刊: INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
Volume: 45
Issue: 7-8
起始頁: 949
結束頁: 957
顯示於類別:期刊論文


文件中的檔案:

  1. 000228207300023.pdf