Ant Colony Optimization Algorithm to Parallel Machine Scheduling Problem with Setups

被引：12
|
作者：
Arnaout, Jean-Paul [1 ]
Musa, Rami [2 ]
Rabadi, Ghaith [3 ]
机构：
[1] Lebanese Amer Univ, Ind & Mech Engn Dept, Byblos, Lebanon
[2] Warehouse & Distribut Solut, Newport News, VA 23603 USA
[3] Old Dominion Univ, Engn Managment & Syst Dept, Norfolk, VA 23529 USA
来源：
2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING, VOLS 1 AND 2 | 2008年
关键词：
D O I：
10.1109/COASE.2008.4626566
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper addresses the non-preemptive unrelated parallel machine scheduling problem with machine-dependent and job sequence-dependent setup times. All jobs are available at time zero, all times are deterministic, and the objective is to minimize the makespan. This is a NP-hard problem and in this paper, a two-stage ant colony optimization (ACO) algorithm is introduced and its performance is evaluated by comparing its solutions to the solutions of Tabu Search and an existing heuristic for the same problem. The results show that ACO outperformed the other algorithms.
引用
收藏
页码：578 / +
页数：3
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