Ensemble of Strategies and Perturbation Parameter Based SOMA for Constrained Technological Design Optimization Problem

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F19%3A63522816" target="_blank" >RIV/70883521:28140/19:63522816 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8790047" target="_blank" >https://ieeexplore.ieee.org/document/8790047</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC.2019.8790047" target="_blank" >10.1109/CEC.2019.8790047</a>

Result language
angličtina
Original language name
Ensemble of Strategies and Perturbation Parameter Based SOMA for Constrained Technological Design Optimization Problem
Original language description
In this paper, we are introducing a novel ensemble based adaptive strategy for the Self Organizing Migrating Algorithm (SOMA), namely the "Ensemble of Strategies and Perturbation Parameter in SOMA" (ESP-SOMA). The proposed algorithm as well as several other state of the art selected metaheuristic algorithms are utilized in the task of optimization of waste processing batch reactor geometry and control. Since there is a growing demand for intelligent and fast problem solution or optimal utilization of resources in modern industrial field, especially in the Industry 4.0 era, this paper represents an insight into the applicability and effectivity of modern adaptive state of the art metaheuristic optimization algorithms in the task of highly constrained industrial design optimization problem. The simple statistical comparison of the results given by three different metaheuristic algorithms is also reported here.
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
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
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings
ISBN
978-1-72812-153-6
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
2872-2877
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Piscataway, New Jersey
Event location
Wellington
Event date
Jun 10, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000502087102114

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