Multi-objective Parallel-machine Scheduling Problem Considering Energy Consumption and Deteriorating Effect

Document Type

Conference Proceeding

Publication Date

11-6-2020

Abstract

In actual manufacturing process, a great deal of energy resources is employed. Therefore, decision-makers have to not only consider time-oriented objectives, but also focus on energy-efficient criteria. In our work, we study the energy-efficient problem of the parallel machine scheduling with uncertain factor, i.e., deteriorating effect. And a mathematical model to reach minimization makespan and energy consumption is formulated. Then, we design an approach of multi-objective ant lion optimization according to the characteristics of this work. By conducting extensive simulation experiments, this work compares ant lion optimization approach with two popular multi-objective evolutionary algorithms. And two performance indexes of coverage metric and inverted generational distance are employed to analyze their results of the experiment. The comparative results indicate that the better solutions can be found by ant lion optimization approach for solving our concerned problem.

Identifier

85100929005 (Scopus)

ISBN

[9781728176871]

Publication Title

Proceedings 2020 Chinese Automation Congress Cac 2020

External Full Text Location

https://doi.org/10.1109/CAC51589.2020.9327353

First Page

6917

Last Page

6922

Grant

2020RWG011

Fund Ref

National Natural Science Foundation of China

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