Ensemble of strategies and perturbation parameter based SOMA for optimal stabilization of chaotic oscillations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F20%3A63527058" target="_blank" >RIV/70883521:28140/20:63527058 - isvavai.cz</a>

Výsledek na webu

<a href="https://dl.acm.org/doi/10.1145/3377929.3398145" target="_blank" >https://dl.acm.org/doi/10.1145/3377929.3398145</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3377929.3398145" target="_blank" >10.1145/3377929.3398145</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Ensemble of strategies and perturbation parameter based SOMA for optimal stabilization of chaotic oscillations

Popis výsledku v původním jazyce

In this paper, we are investigating an original ensemble based adaptive strategy for the Self Organizing Migrating Algorithm (SOMA), namely the &quot;Ensemble of Strategies and Perturbation Parameter in SOMA&quot; (ESP-SOMA). The algorithm to which the main attention is focused as well as other state of the art metaheuristic algorithm (SHADE) are utilized in the complex task of time and quality optimal stabilization of chaotic system oscillations. Since there is a growing demand for intelligent and fast problem solutions in engineering, this paper represents an insight into the applicability and effectivity of modern adaptive/state of the art metaheuristic optimization algorithms in the task of constrained and difficult optimization problem. Experiments encompass two different cases of desired behaviour of chaotic system, and two different designs of objective function in terms of complexity. The simple statistical comparison of the results given by four different metaheuristic algorithms is also reported here for the pairs of generic and enhanced versions.

Název v anglickém jazyce

Ensemble of strategies and perturbation parameter based SOMA for optimal stabilization of chaotic oscillations

Popis výsledku anglicky

In this paper, we are investigating an original ensemble based adaptive strategy for the Self Organizing Migrating Algorithm (SOMA), namely the &quot;Ensemble of Strategies and Perturbation Parameter in SOMA&quot; (ESP-SOMA). The algorithm to which the main attention is focused as well as other state of the art metaheuristic algorithm (SHADE) are utilized in the complex task of time and quality optimal stabilization of chaotic system oscillations. Since there is a growing demand for intelligent and fast problem solutions in engineering, this paper represents an insight into the applicability and effectivity of modern adaptive/state of the art metaheuristic optimization algorithms in the task of constrained and difficult optimization problem. Experiments encompass two different cases of desired behaviour of chaotic system, and two different designs of objective function in terms of complexity. The simple statistical comparison of the results given by four different metaheuristic algorithms is also reported here for the pairs of generic and enhanced versions.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion

ISBN

978-145037127-8

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

1468-1475

Název nakladatele

Association for Computing Machinery

Místo vydání

New York

Místo konání akce

Cancun

Datum konání akce

8. 7. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—