Galoitica: Journal of Mathematical Structures and Applications
GJMSA
2834-5568
10.54216/GJSMA
https://www.americaspg.com/journals/show/2830
2022
2022
Local Search Algorithms For Solving A Function With Five-Objectives And Release Dates on One-Machine
Department of Mathematics, Open Educational College, Samawah, 66001 , Iraq
Hussein
Hussein
Department of Mathematics, College of Sciences, University of Mustansiriyah , Baghdad, 10001 , Iraq
Hanan Ali
Chachan
In this research, the issue of scheduling n-jobs on one-machine is represented to minimize Five-Objectives-Function (FOF), for finding approximation solutions for the sum of completion time, total tardiness, total earliness, number of late jobs and late work with release date, this issue denoted by: Hanan and Hussein used a branch and bound technique (B-a-B) to discovery an optimal solution path. Computational results showed the (B-a-B) technique was efficient in solving issues with up to (16- jobs). Because our issue is of a very difficult type (NP-hard), we suggest local search algorithms to discovery near optimal solution. The execution of local search techniques can be tested on large group of test issues. Computational results showed with up to (30000 jobs) in acceptable time.
2024
2024
44
51
10.54216/GJMSA.0100204
https://www.americaspg.com/articleinfo/33/show/2830