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A Genetic Algorithm Coupled with Tabu Search for Bi-Objective Permutation Flow Shop

Publish Year: 1392
Type: Journal paper
Language: English
View: 154

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JR_RIEJ-2-1_003

Index date: 4 April 2022

A Genetic Algorithm Coupled with Tabu Search for Bi-Objective Permutation Flow Shop abstract

Considering flow shop scheduling problem with more objectives, will help to make it more practical. For this purpose, we have intended both the makespan and total due date cost simultaneously. Total due date cost is included the sum of earliness and tardiness cost. In order to solve this problem, a genetic algorithm is developed. In this GA algorithm, to further explore in solution space a Tabu Search algorithm is used. Also in selecting the new population, is used the concept of elitism to increase the chance of choosing the best sequence. To evaluate the performance of this algorithm and performing the experiments, it is coded in VBA. Experiments results and comparison with GA is indicated the high potential of this algorithm in solving the multi-objective problems.

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A Genetic Algorithm Coupled with Tabu Search for Bi-Objective Permutation Flow Shop authors

N. Shahsavari Pour

Department of Industrial Management, Vali-e-Asr University, Rafsanjan, Iran

M.H. Abolhasani Ashkezari

Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Kerman, Iran

H. Mohammadi Andargoli

Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Kerman, Iran