The impatience mechanism as a diversity maintaining and saddle crossing strategy

The impatience mechanism diversifies the population and facilitates escaping from a local optima trap by modifying fitness values of poorly adapted individuals. In this paper, two versions of the impatience mechanism coupled with a phenotypic model of evolution are studied. A population subordinated...

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Main Author: Karcz-Duleba Iwona
Format: Article
Language:English
Published: Sciendo 2016-12-01
Series:International Journal of Applied Mathematics and Computer Science
Subjects:
Online Access:https://doi.org/10.1515/amcs-2016-0064
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spelling doaj-e9d6973b727a4e0d94471b19c26d19b12021-09-06T19:39:49ZengSciendoInternational Journal of Applied Mathematics and Computer Science2083-84922016-12-0126490591810.1515/amcs-2016-0064amcs-2016-0064The impatience mechanism as a diversity maintaining and saddle crossing strategyKarcz-Duleba Iwona0Department of Control and Mechatronics, Faculty of Electronics Wrocław University of Science and Technology, Wyb. Wyspiańskiego 27, 50-370 Wrocław, PolandThe impatience mechanism diversifies the population and facilitates escaping from a local optima trap by modifying fitness values of poorly adapted individuals. In this paper, two versions of the impatience mechanism coupled with a phenotypic model of evolution are studied. A population subordinated to a basic version of the impatience mechanism polarizes itself and evolves as a dipole centered around an averaged individual. In the modified version, the impatience mechanism is supplied with extra knowledge about a currently found optimum. In this case, the behavior of a population is quite different than previously-considerable diversification is also observed, but the population is not polarized and evolves as a single cluster. The impatience mechanism allows crossing saddles relatively fast in different configurations of bimodal and multimodal fitness functions. Actions of impatience mechanisms are shown and compared with evolution without the impatience and with a fitness sharing. The efficiency of crossing saddles is experimentally examined for different fitness functions. Results presented in the paper confirm good properties of the impatience mechanism in diversity maintaining and saddle crossing.https://doi.org/10.1515/amcs-2016-0064phenotypic evolutionimpatience operator without and with extra knowledgepolarization of populationmaintaining population diversitysaddle crossing
collection DOAJ
language English
format Article
sources DOAJ
author Karcz-Duleba Iwona
spellingShingle Karcz-Duleba Iwona
The impatience mechanism as a diversity maintaining and saddle crossing strategy
International Journal of Applied Mathematics and Computer Science
phenotypic evolution
impatience operator without and with extra knowledge
polarization of population
maintaining population diversity
saddle crossing
author_facet Karcz-Duleba Iwona
author_sort Karcz-Duleba Iwona
title The impatience mechanism as a diversity maintaining and saddle crossing strategy
title_short The impatience mechanism as a diversity maintaining and saddle crossing strategy
title_full The impatience mechanism as a diversity maintaining and saddle crossing strategy
title_fullStr The impatience mechanism as a diversity maintaining and saddle crossing strategy
title_full_unstemmed The impatience mechanism as a diversity maintaining and saddle crossing strategy
title_sort impatience mechanism as a diversity maintaining and saddle crossing strategy
publisher Sciendo
series International Journal of Applied Mathematics and Computer Science
issn 2083-8492
publishDate 2016-12-01
description The impatience mechanism diversifies the population and facilitates escaping from a local optima trap by modifying fitness values of poorly adapted individuals. In this paper, two versions of the impatience mechanism coupled with a phenotypic model of evolution are studied. A population subordinated to a basic version of the impatience mechanism polarizes itself and evolves as a dipole centered around an averaged individual. In the modified version, the impatience mechanism is supplied with extra knowledge about a currently found optimum. In this case, the behavior of a population is quite different than previously-considerable diversification is also observed, but the population is not polarized and evolves as a single cluster. The impatience mechanism allows crossing saddles relatively fast in different configurations of bimodal and multimodal fitness functions. Actions of impatience mechanisms are shown and compared with evolution without the impatience and with a fitness sharing. The efficiency of crossing saddles is experimentally examined for different fitness functions. Results presented in the paper confirm good properties of the impatience mechanism in diversity maintaining and saddle crossing.
topic phenotypic evolution
impatience operator without and with extra knowledge
polarization of population
maintaining population diversity
saddle crossing
url https://doi.org/10.1515/amcs-2016-0064
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