文章基本信息

标题：Adaptive Hybrid ant colony optimization for solving Dual Resource Constrained Job Shop Scheduling Problem
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作者：Li, Jingyao ; Sun, Shudong ; Huang, Yuan 等
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2011
卷号：6
期号：4
页码：584-594
DOI：10.4304/jsw.6.4.584-594
语种：English
出版社：Academy Publisher
摘要：This paper presents a scheduling approach, based on Ant Colony Optimization (ACO), developed to address the scheduling problem in manufacturing systems constrained by both machines and heterogeneous workers called as Dual Resource Constrained Job Shop Scheduling Problem with Heterogeneous Workers. This hybrid algorithm utilizes the combination of ACO and Simulated Annealing (SA) algorithm and proposes an adaptive control mechanism based on ant flow of route choice to improve the global search ability. Two adaptive adjusting schemes of parameters based on iteration times and quality of solutions respectively are imposed to actualize the performance optimization by stages. Then the performances of different optimization methods with different resource allocation strategies are compared according to simulation experiments on both concrete instance and random benchmarks while related discussion are represented at last.
关键词：Dual Resource Constrained;Ant Colony Optimization;Adaptive Adjusting Parameters;Ant flow