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Journal of System Simulation

Abstract

Abstract: For the uncertainty of parameters during flexible industrial process in the manufacturing workshops, a model of multi-objective fuzzy flexible job shop scheduling is established. To solve this model, the processing time, processing cost and material cost are described by triangular fuzzy numbers to minimize the makespan and production cost. An adaptive discrete flower pollination algorithm (ADMOFPA) is proposed. A discrete operator is utilized in the algorithm to discretize the solutions at the initialization period. To enhance the global exploration and local exploitation ability of ADMOFPA, an adaptive mutation operator is adopted. By simulating the instance of one flexible production workshop using the proposed algorithm, the results validate the effectiveness of the proposed algorithm compared with the basic FPA and particle swarm optimization.

First Page

4403

Revised Date

2018-06-02

Last Page

4412

CLC

TP278

Recommended Citation

Xu Wenhao, Wang Yan, Yan Dahu, Ji Zhicheng. Flower Pollination Algorithm for Multi-Objective Fuzzy Flexible Job Shop Scheduling[J]. Journal of System Simulation, 2018, 30(11): 4403-4412.

DOI

10.16182/j.issn1004731x.joss.201811042

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