Journal of System Simulation
Abstract
Abstract: Based on the comprehensive consideration of economic indicators and environmental factors, the energy-efficient scheduling problem of multi-objective flexible job shop with uncertain processing time is studied. The interval number is used to describe uncertain processing time of the workpiece, and the optimization model for energy-efficient problem of interval flexible job shop scheduling is established to minimize the maximum interval completion time and total energy consumption. According to the domination relation of interval possibility degree, an effective interval multi-objective evolutionary algorithm is designed. The simulation experiments of the interval multi-objective evolutionary algorithm, SPEA-II and NSGA-II are carried out through 15 groups of test problems, and the feasibility and effectiveness of the proposed algorithm are verified by two performance indexes, the inverse generation distance (IGD) and the covering set measure (C measure).
Recommended Citation
Zhang, Hongliang; Ding, Renman; and Xu, Gongjie
(2022)
"Energy-Efficient Scheduling of Multi-objective Flexible Job Shop Considering Interval Processing Time,"
Journal of System Simulation: Vol. 34:
Iss.
9, Article 7.
DOI: 10.16182/j.issn1004731x.joss.21-0395
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss9/7
First Page
1976
Revised Date
2021-06-25
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-0395
Last Page
1987
CLC
TP301;TP391
Recommended Citation
Hongliang Zhang, Renman Ding, Gongjie Xu. Energy-Efficient Scheduling of Multi-objective Flexible Job Shop Considering Interval Processing Time[J]. Journal of System Simulation, 2022, 34(09): 1976-1987.
DOI
10.16182/j.issn1004731x.joss.21-0395
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