A Hybrid Algorithm using Grey Wolf and Chicken Swarm for Flexible Job Shop Scheduling
S. Kavitha1, P. Ven Kumar2
1S. Kavitha, Department of Mechanical Engineerig, Kalasalingam Academy of Research and Education College, Krishnankoil (Tamil Nadu), India.
2P. Ven Kumar, Department of Mechanical Engineerig, Kalasalingam Academy of Research and Education College, Krishnankoil (Tamil Nadu), India.
Manuscript received on 28 November 2019 | Revised Manuscript received on 17 December 2019 | Manuscript Published on 31 December 2019 | PP: 268-274 | Volume-8 Issue-4S2 December 2019 | Retrieval Number: D10551292S219/2019©BEIESP | DOI: 10.35940/ijrte.D1055.1284S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Job Shop Scheduling Problem (JSSP) is one of the major inconvenience models because it is the hardest combinatorial change in nature. So far number of algorithms developed to solve JSSP and still there is scope to develop an efficient algorithm. Hence, this paper considered a unique hybrid algorithm which is the combination of the Grey Wolf and Chicken Swarm Optimization algorithm with the objective of minimization of makespan time and cost. The most extraordinary compilation (makespan), and the tardiness is considered in the meantime. The hybrid algorithm count relies upon the reenactment of the swarming behavior of wolves’ individuals. The base objectives of each wolf and swarms from most bewildering thicknesses of the group are considered as the objective work for the improvement. The results show that the proposed hybrid Grey Wolf and Chicken Swarm Optimization algorithm can obtain better results in terms of various iteration levels. The accuracy and robustness are also applied in real industrial conditions and for large size problems. The proposed method results show that very less time duration when compared with the Genetic Algorithm (GA) and Ants Colony Optimization (ACO) algorithm.
Keywords: Job Shop Scheduling Problems, Grey Wolf Optimization, Chicken Swarm Optimization, Hybrid Algorithm.
Scope of the Article: Mechanical Maintenance