Novel heuristic approach for solving multi-objective scheduling problems
Joint Authors
Ramadan, Ayad Muhammad
Amin, Bigard A.
Source
Ibn al-Haitham Journal for Pure and Applied Science
Issue
Vol. 34, Issue 3 (30 Sep. 2021), pp.50-59, 10 p.
Publisher
University of Baghdad College of Education for Pure Science / Ibn al-Haitham
Publication Date
2021-09-30
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Topics
Abstract EN
In this paper, we studied the scheduling of n jobs on a single machine.
Each of n jobs is to be processed without interruption and becomes available for processing at time zero.
The objective is to find a processing order of the jobs, minimizing the sum of maximum earliness and maximum tardiness.
This problem is to minimize the earliness and tardiness values, so this model is equivalent to the just-in-time production system.
Our lower bound depended on the decomposition of the problem into two subprograms.
We presented a novel heuristic approach to find a near-optimal solution for the problem.
This approach depends on finding efficient solutions for two problems.
The first problem is minimizing total completion time and maximum tardiness.
The second is minimizing total completion time and maximum earliness.
We used these efficient solutions to find a near-optimal solution for another problem which is a sum of maximum earliness and maximum tardiness.
This means we eliminate the total completion time from the two problems.
The algorithm was tested on a set of problems of different n.
Computational results demonstrate the efficiency of the proposed In this paper, we studied the scheduling of n jobs on a single machine.
Each of n jobs is to be processed without interruption and becomes available for processing at time zero.
The objective is to find a processing order of the jobs, minimizing the sum of maximum earliness and maximum tardiness.
This problem is to minimize the earliness and tardiness values, so this model is equivalent to the just-in-time production system.
Our lower bound depended on the decomposition of the problem into two subprograms.
We presented a novel heuristic approach to find a near-optimal solution for the problem.
This approach depends on finding efficient solutions for two problems.
The first problem is minimizing total completion time and maximum tardiness.
The second is minimizing total completion time and maximum earliness.
We used these efficient solutions to find a near-optimal solution for another problem which is a sum of maximum earliness and maximum tardiness.
This means we eliminate the total completion time from the two problems.
The algorithm was tested on a set of problems of different n.
Computational results demonstrate the efficiency of the proposed method.
American Psychological Association (APA)
Amin, Bigard A.& Ramadan, Ayad Muhammad. 2021. Novel heuristic approach for solving multi-objective scheduling problems. Ibn al-Haitham Journal for Pure and Applied Science،Vol. 34, no. 3, pp.50-59.
https://search.emarefa.net/detail/BIM-1255654
Modern Language Association (MLA)
Amin, Bigard A.& Ramadan, Ayad Muhammad. Novel heuristic approach for solving multi-objective scheduling problems. Ibn al-Haitham Journal for Pure and Applied Science Vol. 34, no. 3 (2021), pp.50-59.
https://search.emarefa.net/detail/BIM-1255654
American Medical Association (AMA)
Amin, Bigard A.& Ramadan, Ayad Muhammad. Novel heuristic approach for solving multi-objective scheduling problems. Ibn al-Haitham Journal for Pure and Applied Science. 2021. Vol. 34, no. 3, pp.50-59.
https://search.emarefa.net/detail/BIM-1255654
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 58-59
Record ID
BIM-1255654