An appraisal of multi objective evolutionary algorithm for possible optimization of renewable energy systems

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

An appraisal of multi objective evolutionary algorithm for possible optimization of renewable energy systems

Popis výsledku v původním jazyce

The development of efficient multi objective evolutionary algorithms (MOEAs) can provide an effective tool for solving the optimization of solely renewable electricity systems. This paper presents an appraisal of multi objective evolutionary algorithms. It covers MOEA framework as a key issue in its design, these are including of MOEA based on decomposition, preference, indicator, hybridization, and co-evolution. Other MOEA frameworks covered in this paper are Target Region-based Multi Objective Evolutionary Algorithm (TMOEA) and Memetic Algorithm (MA) for multi objective evolutionary algorithms. The computational complexity of MOEAs has been presented. Potential direction for future research is in the area of MOEA application in an exclusively renewable energy system, thereby paving the way for the Internet of Renewable Energy (IoRE).

Název v anglickém jazyce

An appraisal of multi objective evolutionary algorithm for possible optimization of renewable energy systems

Popis výsledku anglicky

The development of efficient multi objective evolutionary algorithms (MOEAs) can provide an effective tool for solving the optimization of solely renewable electricity systems. This paper presents an appraisal of multi objective evolutionary algorithms. It covers MOEA framework as a key issue in its design, these are including of MOEA based on decomposition, preference, indicator, hybridization, and co-evolution. Other MOEA frameworks covered in this paper are Target Region-based Multi Objective Evolutionary Algorithm (TMOEA) and Memetic Algorithm (MA) for multi objective evolutionary algorithms. The computational complexity of MOEAs has been presented. Potential direction for future research is in the area of MOEA application in an exclusively renewable energy system, thereby paving the way for the Internet of Renewable Energy (IoRE).

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50602 - Public administration

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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 PES/IAS PowerAfrica

ISBN

978-1-72811-011-0

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

370-375

Název nakladatele

IEEE (Institute of Electrical and Electronics Engineers)

Místo vydání

New York

Místo konání akce

Abuja

Datum konání akce

20. 8. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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