Inspired in SOMA: Perturbation vector embedded into the chaotic PSO algorithm driven by Lozi chaotic map

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86100235" target="_blank" >RIV/61989100:27240/16:86100235 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-28161-2_13" target="_blank" >http://dx.doi.org/10.1007/978-3-319-28161-2_13</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-28161-2_13" target="_blank" >10.1007/978-3-319-28161-2_13</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Inspired in SOMA: Perturbation vector embedded into the chaotic PSO algorithm driven by Lozi chaotic map

Popis výsledku v původním jazyce

In this chapter a new approach for Particle Swarm Optimization (PSO) algorithm driven by chaotic pseudorandom number generator based on chaotic Lozi map is presented. This research represents the continuation of the satisfactory results obtained by means of chaos embedded (driven) swarm based algorithms, which utilize the chaotic dynamics in the place of pseudorandom number generators. The perturbation vector, which is introduced here, was inspired by the swarm based Self-organizing Migrating Algorithm (SOMA). It was embedded into the PSO algorithm to help overcome the issue of premature convergence. (C) Springer International Publishing Switzerland 2016.

Název v anglickém jazyce

Inspired in SOMA: Perturbation vector embedded into the chaotic PSO algorithm driven by Lozi chaotic map

Popis výsledku anglicky

In this chapter a new approach for Particle Swarm Optimization (PSO) algorithm driven by chaotic pseudorandom number generator based on chaotic Lozi map is presented. This research represents the continuation of the satisfactory results obtained by means of chaos embedded (driven) swarm based algorithms, which utilize the chaotic dynamics in the place of pseudorandom number generators. The perturbation vector, which is introduced here, was inspired by the swarm based Self-organizing Migrating Algorithm (SOMA). It was embedded into the PSO algorithm to help overcome the issue of premature convergence. (C) Springer International Publishing Switzerland 2016.

Druh

C - Kapitola v odborné knize

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

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

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Studies in Computational Intelligence. Volume 642

ISBN

978-3-642-34299-8

Počet stran výsledku

13

Strana od-do

277-289

Počet stran knihy

300

Název nakladatele

Springer Verlag

Místo vydání

New York

Kód UT WoS kapitoly

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