Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Different types of niching can be used in genetic algorithms (GAs) or evolutionary computations (ECs) to sustain the diversity of the sought optimal solutions and to increase the effectiveness of evolutionary multi-objective optimization solvers. In this paper four schemes of niching are proposed, which are also considered in two versions with respect to the method of invoking: a continuous realization and a periodic one. The characteristics of these mechanisms are discussed, while as their performance and effectiveness are analyzed by considering exemplary multi-objective optimization tasks both of a synthetic and an engineering (FDI) design nature.
Rocznik
Tom
Strony
59--84
Opis fizyczny
Bibliogr. 51 poz., rys., tab., wykr.
Twórcy
autor
- Faculty of Electronics, Telecommunications and Computer Science, Gdańsk University of Technology, ul. Narutowicza 11/12, 80–952 Gdańsk, Poland
autor
- Faculty of Electronics, Telecommunications and Computer Science, Gdańsk University of Technology, ul. Narutowicza 11/12, 80–952 Gdańsk, Poland
Bibliografia
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ1-0028-0005