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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

In this paper, we are introducing a novel 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 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.

Název v anglickém jazyce

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

Popis výsledku anglicky

In this paper, we are introducing a novel 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 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.

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

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings

ISBN

978-1-72812-153-6

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

2872-2877

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Piscataway, New Jersey

Místo konání akce

Wellington

Datum konání akce

10. 6. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000502087102114