The Real-Life Application of Differential Evolution with a Distance-Based Mutation-Selection

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F21%3AA2202A50" target="_blank" >RIV/61988987:17310/21:A2202A50 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2227-7390/9/16/1909" target="_blank" >https://www.mdpi.com/2227-7390/9/16/1909</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/math9161909" target="_blank" >10.3390/math9161909</a>

Result language

angličtina

Original language name

The Real-Life Application of Differential Evolution with a Distance-Based Mutation-Selection

Original language description

This paper proposes the real-world application of the Differential Evolution (DE) algorithm using, distance-based mutation-selection, population size adaptation, and an archive for solutions (DEDMNA). This simple framework uses three widely-used mutation types with the application of binomial crossover. For each solution, the most proper position prior to evaluation is selected using the Euclidean distances of three newly generated positions. Moreover, an efficient linear population-size reduction mechanism is employed. Furthermore, an archive of older efficient solutions is used. The DEDMNA algorithm is applied to three real-life engineering problems and 13 constrained problems. Seven well-known state-of-the-art DE algorithms are used to compare the efficiency of DEDMNA. The performance of DEDMNA and other algorithms are comparatively assessed using statistical methods. The results obtained show that DEDMNA is a very comparable optimiser compared to the best performing DE variants. The simple idea of measuring the distance of the mutant solutions increases the performance of DE significantly.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10102 - Applied mathematics

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2021

Confidentiality

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

Name of the periodical

Mathematics

ISSN

2227-7390

e-ISSN

—

Volume of the periodical

9

Issue of the periodical within the volume

16

Country of publishing house

CH - SWITZERLAND

Number of pages

14

Pages from-to

1909

UT code for WoS article

000690633900001

EID of the result in the Scopus database

2-s2.0-85112538248