Multi-chaotic Approach for Particle Acceleration in PSO

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43875437" target="_blank" >RIV/70883521:28140/16:43875437 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/16:86100229
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-319-39636-1_6" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-39636-1_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-39636-1_6" target="_blank" >10.1007/978-3-319-39636-1_6</a>

Result language
angličtina
Original language name
Multi-chaotic Approach for Particle Acceleration in PSO
Original language description
This paper deals with novel approach for hybridization of two scientific techniques: the evolutionary computational techniques and deterministic chaos. The Particle Swarm Optimization algorithm is enhanced with two pseudo-random number generators based on chaotic systems. The chaotic pseudo-random number generators (CPRNGs) are used to guide the particles movement through multiplying the accelerating constants. Different CPRNGs are used simultaneously in order to improve the performance of the algorithm. The IEEE CEC'13 benchmark suite is used to test the performance of the proposed method.
Czech name
—
Czech description
—

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

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)