Modified JAYA algorithm for solving the flexible job shop scheduling problem considering worker flexibility and energy consumption

被引：4

作者：

Li H. ^{[1
]}

Zhu H. ^{[1
]}

Jiang T. ^{[2
]}

机构：

[1] School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan

[2] School of Transportation, Ludong University, Yantai, Shandong

来源：

International Journal of Wireless and Mobile Computing | 2021年 / 20卷 / 03期

关键词：

Energy consumption; Flexible job shop; Modified JAYA algorithm; Production scheduling problem; Worker flexibility;

D O I：

10.1504/IJWMC.2021.115635

中图分类号：

学科分类号：

摘要：

This paper investigates a flexible job shop scheduling problem with worker flexibility and energy consumption. A modified JAYA algorithm (MJAYA) is developed to minimise the total energy consumption. In the MJAYA, three improvement strategies are used to improve the algorithm’s performance, such as Modified Individual Updating (MIU) method, Adaptive Mutation Operator (AMO) and Local Search Strategy (LSS). The MIU is developed to improve the exploration ability by adding a random term to the original updating equation. The AMO is used to keep the population diversity. In addition, The LSS is employed to enhance the local search capacity. Finally, extensive simulations are performed to validate the effectiveness of the proposed MJAYA algorithm. Experimental data show that the MJAYA algorithm is effective for solving the considered problem. Copyright © 2021 Inderscience Enterprises Ltd.

引用

页码：212 / 223

页数：11

共 28 条

[1]

Buddala R., Mahapatra S.S., Improved teaching-learning-based and JAYA optimization algorithms for solving flexible flow shop scheduling problems, Journal of Industrial Engineering International, 14, pp. 555-570, (2018)

[2]

Caldeira R.H., Gnanavelbabu A., Solving the flexible job shop scheduling problem using an improved Jaya algorithm, Computations and Industrial Engineering, 137, (2019)

[3]

Du D.C., Vinh H.H., Trung V.D., Hong Quyen N.T., Trung N.T., Efficiency of Jaya algorithm for solving the optimization-based structural damage identification problem based on a hybrid objective function, Engineering Optimization, 50, pp. 1233-1251, (2018)

[4]

Ghavidel S., Azizivahed A., Li L., A hybrid Jaya algorithm for reliability-redundancy allocation problems, Engineering Optimization, 50, pp. 698-715, (2018)

[5]

Jiang T., Zhang C., Sun Q., Green job shop scheduling problem with discrete whale optimization algorithm, IEEE Access, 7, pp. 43153-43166, (2019)

[6]

Jiang T., Zhang C., Zhu H., Deng G., Energy-efficient scheduling for a job shop using grey wolf optimization algorithm with double-searching mode, Mathematical Problems in Engineering, 3, pp. 1-12, (2018)

[7]

Jiang T., Zhang C., Zhu H., Gu J., Deng G., Energy-efficient scheduling for a job shop using an improved whale optimization algorithm, Mathematics, 6, pp. 220-239, (2018)

[8]

Jiang T.H., Deng G.L., Optimizing the low-carbon flexible job shop scheduling problem considering energy consumption, IEEE Access, 6, pp. 46346-46355, (2018)

[9]

Jiang T.H., Deng G.L., Optimizing the low-carbon flexible job shop scheduling problem considering energy consumption, IEEE Access, 6, pp. 46346-46355, (2018)

[10]

Jiang T.H., Zhu H.Q., Deng G.L., Improved African buffalo optimization algorithm for the green flexible job shop scheduling problem considering energy consumption, Journal of Intelligent and Fuzzy Systems, 38, pp. 4573-4589, (2020)

← 1 2 3 →