Near-Optimal Solutions for Mold Constraints on Two Parallel Machines

被引:9
|
作者
Ben Hmida, Abir [1 ,4 ]
Jemmali, Mahdi [2 ,3 ,4 ]
机构
[1] Jeddah Univ, Dept Informat Syst, Fac Comp & Informat Technol Khulais, Jeddah, Saudi Arabia
[2] Majmaah Univ, Coll Sci Zulfi, Dept Comp Sci & Informat, Majmaah 11952, Saudi Arabia
[3] Univ Sousse, Mars Lab, Sousse, Tunisia
[4] Monastir Univ, Dept Comp Sci, Higher Inst Comp Sci & Math Monastir, Monastir 5000, Tunisia
来源
STUDIES IN INFORMATICS AND CONTROL | 2022年 / 31卷 / 01期
关键词
Mold constraint; Heuristics; Makespan; Scheduling; Local-search; SCHEDULING PROBLEM; MAKESPAN;
D O I
10.24846/v31i1y202207
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 investigates the mold constraints for the two parallel machines problem. The goal is to minimize the makespan. The resource constraint can be defined as a mold. This constraint is also defined as jobs with conflict. Two jobs can't be executed by the two machines simultaneously. The problem is proved to be a non-deterministic polynomial NP-hard one. Different heuristics have been proposed in this paper to solve the studied problem. A novel meta-heuristics algorithm is developed to enhance the proposed heuristics. The computational results and discussions show the performance of the proposed solutions. A different class of instances is implemented to test the proposed heuristics. The results show that the developed heuristics reaches the optimal solution in 96.4% of instances. Therefore, the obtained results represent near-optimal solutions for the studied problem.
引用
收藏
页码:71 / 78
页数:8
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