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An adaptive memetic agorithm based on multiobjecitve optimization for software next release problem

Published: 12 July 2014 Publication History

Abstract

This paper proposes an adaptive multiobjective memetic algorithm to address the software next release problem. The proposed approach was tested and compared with single objective optimization approaches as well as multiobjective evolutionary approaches on real test instances mined from bug repository. Interestingly, results show multiobjective approach outperforms single objective approach in general and The proposed approach has the best performance.

Cited By

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  • (2021)Software Requirements Selection with Incomplete Linguistic Preference RelationsBusiness & Information Systems Engineering10.1007/s12599-021-00696-xOnline publication date: 27-Apr-2021
  • (2019)Are MAs profitable to search-based PLA design?IET Software10.1049/iet-sen.2018.5318Online publication date: 22-Jul-2019
  • (2017)Extending AHP_GORE_PSR by Generating Different Patterns of Pairwise Comparison MatrixInformation, Communication and Computing Technology10.1007/978-981-10-6544-6_22(233-245)Online publication date: 11-Oct-2017

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  1. An adaptive memetic agorithm based on multiobjecitve optimization for software next release problem

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      cover image ACM Conferences
      GECCO Comp '14: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation
      July 2014
      1524 pages
      ISBN:9781450328814
      DOI:10.1145/2598394
      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 12 July 2014

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      Author Tags

      1. adaptive mechanism
      2. local search
      3. multiobjective memetic algorithm
      4. the next release problem

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      Conference

      GECCO '14
      Sponsor:
      GECCO '14: Genetic and Evolutionary Computation Conference
      July 12 - 16, 2014
      BC, Vancouver, Canada

      Acceptance Rates

      GECCO Comp '14 Paper Acceptance Rate 180 of 544 submissions, 33%;
      Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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      Cited By

      View all
      • (2021)Software Requirements Selection with Incomplete Linguistic Preference RelationsBusiness & Information Systems Engineering10.1007/s12599-021-00696-xOnline publication date: 27-Apr-2021
      • (2019)Are MAs profitable to search-based PLA design?IET Software10.1049/iet-sen.2018.5318Online publication date: 22-Jul-2019
      • (2017)Extending AHP_GORE_PSR by Generating Different Patterns of Pairwise Comparison MatrixInformation, Communication and Computing Technology10.1007/978-981-10-6544-6_22(233-245)Online publication date: 11-Oct-2017

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