Differential Evolution with Adaptive Mechanism of Population Size According to Current Population Diversity

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17200%2F19%3AA2001SS4" target="_blank" >RIV/61988987:17200/19:A2001SS4 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S2210650218301408?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2210650218301408?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.swevo.2019.03.014" target="_blank" >10.1016/j.swevo.2019.03.014</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Differential Evolution with Adaptive Mechanism of Population Size According to Current Population Diversity

Popis výsledku v původním jazyce

A new mechanism for the adaptation of the population size in differential evolution (DE) is described. The adaptive mechanism is based on linear reduction of the population diversity and enables to decrease and also increase the population size during the search. The efficiency of DE variants with and without this adaptive mechanism is experimentally compared on the CEC 2014 test suite. Moreover, this new mechanism is also compared with the linear reduction of the population size proposed in L-SHADE and used in its successful successors. The results of the comparison demonstrate the benefit from the new adaptive mechanism to the algorithm efficiency in more than a half of test problems while the deterioration of its efficiency occurs rarely. As it was expected, the use of the proposed mechanism is considerably beneficial, especially in more complex problems like multimodal, hybrid, or composition objective functions.

Název v anglickém jazyce

Differential Evolution with Adaptive Mechanism of Population Size According to Current Population Diversity

Popis výsledku anglicky

A new mechanism for the adaptation of the population size in differential evolution (DE) is described. The adaptive mechanism is based on linear reduction of the population diversity and enables to decrease and also increase the population size during the search. The efficiency of DE variants with and without this adaptive mechanism is experimentally compared on the CEC 2014 test suite. Moreover, this new mechanism is also compared with the linear reduction of the population size proposed in L-SHADE and used in its successful successors. The results of the comparison demonstrate the benefit from the new adaptive mechanism to the algorithm efficiency in more than a half of test problems while the deterioration of its efficiency occurs rarely. As it was expected, the use of the proposed mechanism is considerably beneficial, especially in more complex problems like multimodal, hybrid, or composition objective functions.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Swarm and Evolutionary Computation

ISSN

2210-6502

e-ISSN

—

Svazek periodika

50

Číslo periodika v rámci svazku

NOV 2019

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

15

Strana od-do

—

Kód UT WoS článku

000497252300021

EID výsledku v databázi Scopus

2-s2.0-85064083128