Inspired in SOMA: Perturbation Vector Embedded into the Chaotic PSO Algorithm Driven by Lozi Chaotic Map
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43875457" target="_blank" >RIV/70883521:28140/16:43875457 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-28161-2_13" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-28161-2_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>
Alternative languages
Result language
angličtina
Original language name
Inspired in SOMA: Perturbation Vector Embedded into the Chaotic PSO Algorithm Driven by Lozi Chaotic Map
Original language description
n 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.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Self-Organizing Migrating Algorithm: Methodology and Implementation
ISBN
978-3-319-28159-9
Number of pages of the result
13
Pages from-to
277-289
Number of pages of the book
289
Publisher name
Springer International Publishing Switzerland
Place of publication
Cham
UT code for WoS chapter
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