On the common population diversity measures in metaheuristics and their limitations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F21%3A63544878" target="_blank" >RIV/70883521:28140/21:63544878 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/abstract/document/9660135/keywords#keywords" target="_blank" >https://ieeexplore.ieee.org/abstract/document/9660135/keywords#keywords</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SSCI50451.2021.9660135" target="_blank" >10.1109/SSCI50451.2021.9660135</a>

Jazyk výsledku

angličtina

Název v původním jazyce

On the common population diversity measures in metaheuristics and their limitations

Popis výsledku v původním jazyce

Maintaining population diversity is one of the fundamental challenges for metaheuristic algorithms. With the emergence of adaptive and self-adaptive methods, the population diversity is frequently used as an indicator of the population state and feedback for the adaptive mechanism. In literature, several methods for quantification of the population diversity were proposed over the years. However, expressing the overall complexity of a metaheuristic population state by a single number inherently leads to simplification and distortion. As we show in this paper, lower diversity value does not automatically mean worse conditions for the emerging of new feasible solutions.

Název v anglickém jazyce

On the common population diversity measures in metaheuristics and their limitations

Popis výsledku anglicky

Maintaining population diversity is one of the fundamental challenges for metaheuristic algorithms. With the emergence of adaptive and self-adaptive methods, the population diversity is frequently used as an indicator of the population state and feedback for the adaptive mechanism. In literature, several methods for quantification of the population diversity were proposed over the years. However, expressing the overall complexity of a metaheuristic population state by a single number inherently leads to simplification and distortion. As we show in this paper, lower diversity value does not automatically mean worse conditions for the emerging of new feasible solutions.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings

ISBN

978-172819048-8

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

1

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Piscataway, New Jersey

Místo konání akce

Orlando

Datum konání akce

5. 12. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—