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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

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

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2020

Confidentiality

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

Article name in the collection

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

ISBN

978-145037127-8

ISSN

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e-ISSN

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Number of pages

8

Pages from-to

1468-1475

Publisher name

Association for Computing Machinery

Place of publication

New York

Event location

Cancun

Event date

Jul 8, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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