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