Pareto-based self-organizing migrating algorithm

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244229" target="_blank" >RIV/61989100:27240/19:10244229 - isvavai.cz</a>

Result on the web

<a href="https://mendel-journal.org/index.php/mendel/article/view/87" target="_blank" >https://mendel-journal.org/index.php/mendel/article/view/87</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.13164/mendel.2019.1.111" target="_blank" >10.13164/mendel.2019.1.111</a>

Result language

angličtina

Original language name

Pareto-based self-organizing migrating algorithm

Original language description

In this paper, we propose a new method named Pareto-based self-organizing migrating algorithm (SOMA Pareto), in which the algorithm is divided into the Organization, Migration, and Update processes. The important key in the Organization process is the application of the Pareto Principle to select the Migrant and the Leader, increasing the performance of the algorithm. The adaptive PRT, Step, and PRTVector parameters are applied to enhance the ability to search for promising subspaces and then to focus on exploiting that subspaces. Based on the testing results on the well-known benchmark suites such as CEC&apos;13, CEC&apos;15, and CEC&apos;17, the superior performance of the proposed algorithm compared to the SOMA family and the state-of-the-art algorithms such as variant DE and PSO are confirmed. These results demonstrate that SOMA Pareto is an effective, promising algorithm. (C) 2019, Brno University of Technology. All rights reserved.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

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

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2019

Confidentiality

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

Article name in the collection

Mendel. Volume 25

ISBN

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ISSN

1803-3814

e-ISSN

2571-3701

Number of pages

10

Pages from-to

111-120

Publisher name

Brno University of Technology

Place of publication

Brno

Event location

Brno

Event date

Jul 10, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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