Using Heuristic and Branch and Bound Methods to Solve a Multi-Criteria Machine Scheduling Problem

Author:

Jawad Aseel Aboud,Ali Faez Hassan,Hasanain Wafaa Sayyid

Abstract

In this paper, we investigate some methods to solve one of the multi-criteria machine scheduling problems. The discussed problem is the total completion time and the total earliness jobs  To solve this problem, some heuristic methods are proposed which provided good results. The Branch and Bound (BAB) method is applied with new suggested upper and lower bounds to solve the discussed problem, which produced exact results for  in a reasonable time.

Publisher

University of Baghdad College of Science

Subject

General Biochemistry, Genetics and Molecular Biology,General Chemistry,General Computer Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Minimizing Total Completion Time, Total Earliness Time, and Maximum Tardiness for a Single Machine scheduling problem;Ibn AL-Haitham Journal For Pure and Applied Sciences;2024-01-20

2. Feature selection techniques for machine learning: a survey of more than two decades of research;Knowledge and Information Systems;2023-12-01

3. Tri-criteria single machine scheduling problem;3RD INTERNATIONAL SCIENTIFIC CONFERENCE OF ALKAFEEL UNIVERSITY (ISCKU 2021);2022

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