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Modified Migrating Birds Optimization for Solving the Low-carbon Scheduling Problem

Authors :
Zhang, Zhifeng
Sun, Yusheng
Cui, Yadong
Zhu, Haodong
Source :
International Journal of Grid and High Performance Computing; October 2020, Vol. 12 Issue: 4 p63-75, 13p
Publication Year :
2020

Abstract

Production scheduling problems have historically emphasized cycle time without involving the environmental factors. In the study, a low-carbon scheduling problem in a flexible job shop is considered to minimize the energy consumption, which mainly consists of two parts: the useful part and the wasted part. First, a mathematical model is built based on the features of the workshop. Second, a modified migrating bird's optimization (MMBO) is developed to obtain the optimal solution. In the MMBO, a population initialization scheme is designed to enhance the solution quality and convergence speed. Five types of neighborhood structures are introduced to create neighborhood solutions. Furthermore, a local search method and a reset mechanism are developed to improve the computational results. Finally, experimental results validate that the MMBO is effective and feasible.

Details

Language :
English
ISSN :
19380259 and 19380267
Volume :
12
Issue :
4
Database :
Supplemental Index
Journal :
International Journal of Grid and High Performance Computing
Publication Type :
Periodical
Accession number :
ejs54138123
Full Text :
https://doi.org/10.4018/IJGHPC.2020100105