Differential evolution with preferential interaction network

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63517319" target="_blank" >RIV/70883521:28140/17:63517319 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27240/17:10238696

Výsledek na webu

<a href="http://dx.doi.org/10.1109/CEC.2017.7969535" target="_blank" >http://dx.doi.org/10.1109/CEC.2017.7969535</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CEC.2017.7969535" target="_blank" >10.1109/CEC.2017.7969535</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Differential evolution with preferential interaction network

Popis výsledku v původním jazyce

Population-based metaheuristic optimization methods are built upon an algorithmic implementation of different types of complex dynamic behaviours. The problem-solving strategies they implement are often inspired by various natural and social phenomena whose fundamental principles were adopted for the use in practical search and optimization problems. New insights into complex systems, attained among others within the fields of network science and social network analysis, can be successfully incorporated into the study of evolutionary and swarm methods and used to improve their efficiency. Preferential attachment is a principle governing the growth of many real-world networks. That makes it a natural candidate for the use with network-based models of artificial evolution. Differential evolution is a widely-used evolutionary algorithm valued for its efficiency and versatility as well as simplicity and ease of implementation. In this paper, a variant of differential evolution, guided by an auxiliary model of population dynamics built with the help of the preferential attachment principle, is designed. The efficiency of the proposed approach is analyzed on the CEC 2017 real-parameter optimization benchmark.

Název v anglickém jazyce

Differential evolution with preferential interaction network

Popis výsledku anglicky

Population-based metaheuristic optimization methods are built upon an algorithmic implementation of different types of complex dynamic behaviours. The problem-solving strategies they implement are often inspired by various natural and social phenomena whose fundamental principles were adopted for the use in practical search and optimization problems. New insights into complex systems, attained among others within the fields of network science and social network analysis, can be successfully incorporated into the study of evolutionary and swarm methods and used to improve their efficiency. Preferential attachment is a principle governing the growth of many real-world networks. That makes it a natural candidate for the use with network-based models of artificial evolution. Differential evolution is a widely-used evolutionary algorithm valued for its efficiency and versatility as well as simplicity and ease of implementation. In this paper, a variant of differential evolution, guided by an auxiliary model of population dynamics built with the help of the preferential attachment principle, is designed. The efficiency of the proposed approach is analyzed on the CEC 2017 real-parameter optimization benchmark.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings

ISBN

978-150904601-0

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

8

Strana od-do

1916-1923

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Piscataway, New Jersey

Místo konání akce

Donostia-San Sebastian

Datum konání akce

5. 6. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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