Improved Whale Optimization with Buffer Setup Time
K.Anandapadmanabhan1, V. P. Eshwaramurthy2
1K.Anandapadmanabhan*, Mca, M.Phil. Assistant, Prof. & Head Of Computer Science, Sri Vasavi College, Erode. (Self Finance Wing) Bharathiar University, Erode.
2Dr V. P. Eshwaramurthy,Asst. Prof. Of Computer Science, Komarapalayam Arts And Science College, Komarapalayam.
Manuscript received on November 19, 2019. | Revised Manuscript received on 27 November, 2019. | Manuscript published on December 10, 2019. | PP: 675-680 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6696129219/2019©BEIESP | DOI: 10.35940/ijitee.B6696.129219
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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 problem is widespread in industrial applications due to lateness in getting a better solution. Buffer plays an important role in the completion of jobs. Proper utilization of buffer by fixing optimal buffer setup time can lead to optimal completion time so that lateness is minimized. This work introduced Improved Whale Optimization with Buffer Setup time Technique (IWOBS) for setting optimal buffer setup time. Using tabu movements, an optimum solution for the nearest buffer setup time is derived and the genetic algorithm is equipped to find fitness score to gather the best buffer setup time with respect to problem consideration. The proposed IWOBS algorithm is proved to be highly effective compared to other existing algorithms.
Keywords: Buffer, Job Shop Problem, Setup Time, Whale Optimization Algorithm
Scope of the Article: Algorithm Engineering