Data for: Evolutionary algorithm using conditional expectation value for quadratic assignment problem

Published: 10 Feb 2019 | Version 1 | DOI: 10.17632/227xdkrrzw.1
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Description of this data

The direct program output.
This data was used in the non-parametric Wilcoxon one-sided signed-rank test.

MUT1_I_out.txt - evolution algorithm uses the mutation operator (Scramble Mutation) based on the conditional expectation value for the QAP problem

MUT_S_out.txt - evolution algorithm uses the standard mutation operator (Scramble Mutation)

OXI_out.txt - evolution algorithm uses the OX operator (order crossover) and the conditional expectation value for the QAP problem (intensification version)

OX_out.txt - evolution algorithm uses the standard OX operator (order crossover)

PMX2E_out.txt - evolution algorithm uses the PMX operator (partially matched crossover) and the conditional expectation value for the QAP problem (2nd exploration version)

PMX_out.txt - evolution algorithm uses the standard PMX operator (partially matched crossover)

POX2E_out.txt - evolution algorithm uses the POX operator (position based crossover) and the conditional expectation value for the QAP problem (2nd exploration version)

POX_out.txt - evolution algorithm uses the standard POX operator (position based crossover)

Experiment data files

This data is associated with the following publication:

Evolutionary algorithm using conditional expectation value for quadratic assignment problem

Published in: Swarm and Evolutionary Computation

Latest version

  • Version 1

    2019-02-10

    Published: 2019-02-10

    DOI: 10.17632/227xdkrrzw.1

    Cite this dataset

    Chmiel, Wojciech (2019), “Data for: Evolutionary algorithm using conditional expectation value for quadratic assignment problem”, Mendeley Data, v1 http://dx.doi.org/10.17632/227xdkrrzw.1

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Operations Research

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The files associated with this dataset are licensed under a Attribution-NonCommercial 3.0 Unported licence.

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