Gender approach to multi-objective optimization of detection systems by pre-selection of criteria

Zdzisław Kowalczuk; Tomasz Białaszewski

Gender approach to multi-objective optimization of detection systems by pre-selection of criteria

Abstract

A 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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Category:: Conference activity
Type:: publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:: 11th International Conference on Diagnostics of Processes and Systems strony 1 - 15
Language:: English
Publication year:: 2013
Bibliographic description:: Kowalczuk Z., Białaszewski T.: Gender approach to multi-objective optimization of detection systems by pre-selection of criteria// 11th International Conference on Diagnostics of Processes and Systems/ ed. J. Korbicz, J.M. Kościelny, Z. Kowalczuk Zielona Góra: Wyd. Uniwersytetu Zielonogórskiego, 2013, s.1-15
Verified by:: Gdańsk University of Technology

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