A survey on evolutionary algorithms dynamics and its complexity - Mutual relations, past, present and future

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096906" target="_blank" >RIV/61989100:27240/15:86096906 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.sciencedirect.com/science/article/pii/S2210650215000437" target="_blank" >http://www.sciencedirect.com/science/article/pii/S2210650215000437</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.swevo.2015.06.002" target="_blank" >10.1016/j.swevo.2015.06.002</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A survey on evolutionary algorithms dynamics and its complexity - Mutual relations, past, present and future

Popis výsledku v původním jazyce

Swarm and evolutionary based algorithms represent a class of search methods that can be used for solving optimization problems. They mimic natural principles of evolution and swarm based societies like ants, bees, by employing a population-based approachin mutual communication and information sharing and processing, including randomness. In this paper, history of swarm and evolutionary algorithms are discussed in general as well as their dynamics, structure and behavior. The core of this paper is an overview of an alternative way how dynamics of arbitrary swarm and evolutionary algorithms can be visualized, analyzed and controlled. Also selected representative applications are discussed at the end. Both subtopics are based on interdisciplinary intersection of two interesting research areas: swarm and evolutionary algorithms and complex dynamics of nonlinear systems that usually exhibit very complex behavior.

Název v anglickém jazyce

A survey on evolutionary algorithms dynamics and its complexity - Mutual relations, past, present and future

Popis výsledku anglicky

Swarm and evolutionary based algorithms represent a class of search methods that can be used for solving optimization problems. They mimic natural principles of evolution and swarm based societies like ants, bees, by employing a population-based approachin mutual communication and information sharing and processing, including randomness. In this paper, history of swarm and evolutionary algorithms are discussed in general as well as their dynamics, structure and behavior. The core of this paper is an overview of an alternative way how dynamics of arbitrary swarm and evolutionary algorithms can be visualized, analyzed and controlled. Also selected representative applications are discussed at the end. Both subtopics are based on interdisciplinary intersection of two interesting research areas: swarm and evolutionary algorithms and complex dynamics of nonlinear systems that usually exhibit very complex behavior.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA15-06700S" target="_blank" >GA15-06700S: Nekonvenční řízení komplexních systémů</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

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

25

Číslo periodika v rámci svazku

DEC 2015

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

13

Strana od-do

2-14

Kód UT WoS článku

000367860600002

EID výsledku v databázi Scopus

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