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Gender Approach to Multi-Objective Optimization of Detection Systems with Pre-selection of Criteria

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Book cover Intelligent Systems in Technical and Medical Diagnostics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 230))

Abstract

Novel idea of performing evolutionary computations for solving highly-dimensional multi-objective optimization (MOO) problems is proposed. The information about individual genders is applied. This information is drawn out of the fitness of individuals and applied during the parental crossover in the evolutionary multi-objective optimization (EMO) processes. The paper introduces the principles of the genetic-gender approach (GGA) and illustrates its performance by means of examples of multi-objective optimization tasks.

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Authors and Affiliations

  1. Faculty of Electronics, Telecommunications and Informatics, Department of Decision Systems, Gdańsk University of Technology, Gdańsk, Poland

    Zdzisław Kowalczuk & Tomasz Białaszewski

Authors
  1. Zdzisław Kowalczuk
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  2. Tomasz Białaszewski
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Corresponding author

Correspondence to Zdzisław Kowalczuk .

Editor information

Editors and Affiliations

  1. , Institute of Control and, University of Zielona Gora, ul. Podgorna 50, Zielona Gora, 65-246, Poland

    Jozef Korbicz

  2. , Institute of Control and, University of Zielona Gora, ul. Podgorna 50, Zielona Gora, 65-246, Poland

    Marek Kowal

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Kowalczuk, Z., Białaszewski, T. (2014). Gender Approach to Multi-Objective Optimization of Detection Systems with Pre-selection of Criteria. In: Korbicz, J., Kowal, M. (eds) Intelligent Systems in Technical and Medical Diagnostics. Advances in Intelligent Systems and Computing, vol 230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39881-0_13

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  • DOI: https://doi.org/10.1007/978-3-642-39881-0_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39880-3

  • Online ISBN: 978-3-642-39881-0

  • eBook Packages: EngineeringEngineering (R0)

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