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European Conference on Evolutionary Computation in Combinatorial Optimization

EvoCOP 2014: Evolutionary Computation in Combinatorial Optimisation pp 206–217Cite as

Phase Transition and Landscape Properties of the Number Partitioning Problem

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 8600)

Abstract

This paper empirically studies basic properties of the fitness landscape of random instances of number partitioning problem, with a focus on how these properties change with the phase transition. The properties include number of local and global optima, number of plateaus, basin size and its correlation with fitness. The only two properties that were found to change when the problem crosses the phase transition are the number of global optima and the number of plateaus, the rest of the properties remained oblivious to the phase transition. This paper, also, studies the effect of different distributions of the weights and different neighbourhood operators on the problem landscape.

Keywords

  • combinatorial optimisation
  • phase transition
  • partitioning problem
  • makespan scheduling
  • fitness landscape

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  • DOI: 10.1007/978-3-662-44320-0_18
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Author information

Authors and Affiliations

  1. School of Computer Science, University of Birmingham, B15 2TT, UK

    Khulood Alyahya & Jonathan E. Rowe

Authors
  1. Khulood Alyahya
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  2. Jonathan E. Rowe
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Artificial Intelligence, IKERBASQUE, Basque Foundation for Science, University of the Basque Country, Paseo Manuel Lardizabal 1, 20018, San Sebastian, Spain

    Christian Blum

  2. School of Natural Sciences, Department of Computing Science and Mathematics, University of Stirling, Room 4B104, Cottrell Building, FK9 4LA, Stirling, UK

    Gabriela Ochoa

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Alyahya, K., Rowe, J.E. (2014). Phase Transition and Landscape Properties of the Number Partitioning Problem. In: Blum, C., Ochoa, G. (eds) Evolutionary Computation in Combinatorial Optimisation. EvoCOP 2014. Lecture Notes in Computer Science, vol 8600. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44320-0_18

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  • DOI: https://doi.org/10.1007/978-3-662-44320-0_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-44319-4

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