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IPESA-II: Improved Pareto Envelope-Based Selection Algorithm II

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Evolutionary Multi-Criterion Optimization (EMO 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7811))

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Abstract

The Pareto envelope-based selection algorithm II (PESA-II) is a classic evolutionary multiobjective optimization (EMO) algorithm that has been widely applied in many fields. One attractive characteristic of PESA-II is its grid-based fitness assignment strategy in environmental selection. In this paper, we propose an improved version of PESA-II, called IPESA-II. By introducing three improvements in environmental selection, the proposed algorithm attempts to enhance PESA-II in three aspects regarding the performance: convergence, uniformity, and extensity. From a series of experiments on two sets of well-known test problems, IPESA-II is found to significantly outperform PESA-II, and also be very competitive against five other representative EMO algorithms.

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Author information

Authors and Affiliations

  1. Department of Information Systems and Computing, Brunel University, Uxbridge, Middlesex, UB8 3PH, United Kingdom

    Miqing Li & Xiaohui Liu

  2. School of Computer Science and Informatics, De Montfort University, Leicester, LE1 9BH, United Kingdom

    Shengxiang Yang

  3. Institute of Information Engineering, Xiangtan University, Xiangtan, 411105, China

    Kang Wang

Authors
  1. Miqing Li
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  2. Shengxiang Yang
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  3. Xiaohui Liu
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  4. Kang Wang
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Editor information

Editors and Affiliations

  1. Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, S1 3JD, Sheffield, UK

    Robin C. Purshouse

  2. Department of Automatic Control Systems and Engineering, University of Sheffield, Mappin Street, S1 3JD, Sheffield, UK

    Peter J. Fleming

  3. Department of Informatics Engineering, University of Coimbra, Pólo II, Pinhal de Marrocos, 3030-290, Coimbra, Portugal

    Carlos M. Fonseca

  4. Department of Economics and Business, University of Catania, Corso Italia 55, 95129, Catania, Italy

    Salvatore Greco

  5. Unilever Research & Development Port Sunlight, Quarry Road East, CH63 3JW, Merseyside, UK

    Jane Shaw

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© 2013 Springer-Verlag Berlin Heidelberg

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Li, M., Yang, S., Liu, X., Wang, K. (2013). IPESA-II: Improved Pareto Envelope-Based Selection Algorithm II. In: Purshouse, R.C., Fleming, P.J., Fonseca, C.M., Greco, S., Shaw, J. (eds) Evolutionary Multi-Criterion Optimization. EMO 2013. Lecture Notes in Computer Science, vol 7811. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37140-0_14

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  • DOI: https://doi.org/10.1007/978-3-642-37140-0_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37139-4

  • Online ISBN: 978-3-642-37140-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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