Minimizing total completion time on non-identical parallel batch machines with arbitrary release times using ant colony optimization

Han Zhang, Kai Li, Zhao-hong Jia and Chengbin Chu

European Journal of Operational Research, 2023, vol. 309, issue 3, 1024-1046

Abstract: This paper considers the problem of scheduling a group of jobs with arbitrary release times, non-identical sizes, and different processing times on non-identical parallel batch processing machines to minimize the total completion time. A mixed-integer programming (MIP) model is firstly constructed in this paper to solve this problem. Then since the studied problem is strongly NP-hard, a modified elite ant system algorithm with the local search (MEASL) is also proposed to solve it, which is compared with several meta-heuristic algorithms and the commercial optimization solver (Gurobi) through extensive simulation experiments. Finally, the experimental results verify the effectiveness of the proposed algorithm.

Keywords: Scheduling; Parallel batch machines; Non-identical capacities; Total completion time; Ant colony optimization (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:309:y:2023:i:3:p:1024-1046

DOI: 10.1016/j.ejor.2023.02.015

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