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Memetic chicken swarm algorithm for job shop scheduling problem.
- Source :
- International Journal of Electrical & Computer Engineering (2088-8708); Jun2019, Vol. 9 Issue 3, p2075-2082, 8p
- Publication Year :
- 2019
-
Abstract
- This paper presents a Memetic Chicken swarm optimization (MeCSO) to solve job shop scheduling problem (JSSP). The aim is to find a better solution which minimizes the maximum of the completion time also called Makespan. In this paper, we adapt the chicken swarm algorithm which take into consideration the hierarchical order of chicken swarm while seeking for food. Moreover, we integrate 2-opt method to improve the movement of the rooster. The new algorithm is applied on some instances of OR-Library. The empirical results show the forcefulness of MeCSO comparing to other metaheuristics from literature in term of run time and quality of solution. [ABSTRACT FROM AUTHOR]
- Subjects :
- PRODUCTION scheduling
HIERARCHICAL Bayes model
PARTICLE swarm optimization
Subjects
Details
- Language :
- English
- ISSN :
- 20888708
- Volume :
- 9
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- International Journal of Electrical & Computer Engineering (2088-8708)
- Publication Type :
- Academic Journal
- Accession number :
- 136882629
- Full Text :
- https://doi.org/10.11591/ijece.v9i3.pp2075-2082