A weighting scheme and a model for computing alternative pareto optimal solutions of multi objective linear programming problems

Yashar Maali, Nezam Mahdavi-Amiri

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

1 Citation (Scopus)

Abstract

A new weighted order scheme is presented for finding alternative Pareto optimal solution of multi objective linear programming problems. In developing the weighted scheme, a big M model is proposed. We establish some properties of the ordering scheme and the proposed model and show how to determine proper values of the parameter M. Illustrative examples are worked out to show the effectiveness of the proposed approach and the competitiveness of the obtained solutions as compared to the ones obtained by the weighted maxmin and the weighted aggregation methods.
Original languageEnglish
Title of host publicationIEEM2010
Subtitle of host publicationIEEE International Conference on Industrial Engineering and Engineering Management : proceedings
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages2110-2115
Number of pages6
ISBN (Print)9781424485031
DOIs
Publication statusPublished - 2010
Externally publishedYes
EventIEEE International Conference on Industrial Engineering and Engineering Management - Macao
Duration: 7 Dec 201010 Dec 2010

Conference

ConferenceIEEE International Conference on Industrial Engineering and Engineering Management
CityMacao
Period7/12/1010/12/10

Keywords

  • multi objective programming
  • pareto optimal solution
  • weighted aggregation
  • weighted maxmin

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