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

  Publikacja

  • Z. Kowalczuk
  • T. Białaszewski

  - Rok 2013

  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)...

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