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An interactive evolutionary algorithm for multiple objective convex integer problems

Published: 16 June 2011 Publication History

Abstract

An interactive evolutionary algorithm is presented in the paper, designed to solve integer multi-objective convex integer optimization problems. The algorithm is population-based. A heuristic procedure is used to accelerate the search process, so that the algorithm performs considerably faster than the usual population-based algorithms. The algorithm is developed to perform in the variables' space, but the solutions obtained are evaluated and their values in the objectives' space are used to support the Decision Maker (DM) in the choice of his/her preferences in the form of a reference point in the objectives' space. Comparison is done on an illustrative example between the performance of the new algorithm proposed and SPEA algorithm (Strength Pareto Evolutionary Algorithm). The computational complexity of a single iteration of proposed algorithm is proved to be polynomial.

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CompSysTech '11: Proceedings of the 12th International Conference on Computer Systems and Technologies
June 2011
688 pages
ISBN:9781450309172
DOI:10.1145/2023607
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • TELECVB: TELECOMS - Varna, Bulgaria
  • Austrian Comp Soc: Austrian Computer Society
  • BPCSB: BULGARIAN PUBLISHING COMPANY - Sofia, Bulgaria
  • IOMAIBB: INSTITUTE OF MATHEMATICS AND INFORMATICS - BAS, Bulgaria
  • NBUBB: New Bulgarian University - BAS, Bulgaria
  • Technical University of Sofia
  • IOIACTBB: INSTITUTE OF INFORMATION AND COMMUNICATION TECHNOLOGIES - BAS, Bulgaria
  • TSFPS: THE SEVENTH FRAMEWORK PROGRAMME - SISTER
  • ERSVB: EURORISC SYSTEMS - Varna, Bulgaria
  • FOSEUB: FEDERATION OF THE SCIENTIFIC ENGINEERING UNIONS - Bulgaria
  • UORB: University of Ruse, Bulgaria
  • BBPSB: BULGARIAN BUSINESS PUBLICATIONS - Sofia, Bulgaria
  • CASTUVTB: CYRIL AND ST. METHODIUS UNIVERSITY of Veliko Tarnovo, Bulgaria
  • TECHUVB: Technical University of Varna, Bulgaria
  • LLLPET: LIFELONG LEARNING PROGRAMME - ETN TRICE
  • IEEEBSB: IEEE Bulgaria Section, Bulgaria

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Association for Computing Machinery

New York, NY, United States

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Published: 16 June 2011

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Author Tags

  1. evolutionary integer optimization
  2. multi criteria decision making (MCDM)

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  • Research-article

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CompSysTech '11
Sponsor:
  • TELECVB
  • Austrian Comp Soc
  • BPCSB
  • IOMAIBB
  • NBUBB
  • IOIACTBB
  • TSFPS
  • ERSVB
  • FOSEUB
  • UORB
  • BBPSB
  • CASTUVTB
  • TECHUVB
  • LLLPET
  • IEEEBSB

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Overall Acceptance Rate 241 of 492 submissions, 49%

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