A Cooperative Algorithm for Energy-efficient Scheduling of Distributed No-wait Flowshop

Jingjing Wang, Ling Wang, Chuge Wu, Jingnan Shen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

This paper addresses an energy-efficient distributed no-wait flowshop scheduling problem (EEDNFSP) with the criteria of minimizing both the makespan and the total energy consumption. A cooperative algorithm is proposed to solve the EEDNFSP. First, a cooperative initialization method which hybridizes the modified Nawaz-Enscore-Ham (NEH) heuristic and random initialization is presented to generate good and diverse initial solutions. Second, based on the characteristics of such a bi-objective scheduling problem, three types of search operators are developed for three sub-problems, i.e., factory assignment, job sequence, and speed selection. Third, a cooperation mechanism for the search operators is designed to trade-off two criteria. Fourth, a local intensification component is used for exploiting better non-dominated solutions sufficiently. Moreover, an energy saving method is utilized to further improve the quality of the explored solutions. The effect of parameter setting on the cooperative algorithm is investigated by using the Taguchi method of design-of-experiment. Computational tests and comparisons are carried out, which verify the effectiveness of the proposed algorithm in solving the EEDNFSP.

Original languageEnglish
Title of host publication2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-8
Number of pages8
ISBN (Electronic)9781538627259
DOIs
Publication statusPublished - 1 Jul 2017
Externally publishedYes
Event2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Honolulu, United States
Duration: 27 Nov 20171 Dec 2017

Publication series

Name2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
Volume2018-January

Conference

Conference2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017
Country/TerritoryUnited States
CityHonolulu
Period27/11/171/12/17

Keywords

  • cooperation
  • distributed no-wait flowshop scheduling
  • makespan
  • multi-objective optimization
  • total energy consumption

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