Economic energy scheduling through chaotic gorilla troops optimizer

Abstract This research proposes a novel solution to the power generation scheduling problem based on the chaotic gorilla troop's optimizer algorithm (CGTO). Power system operational planning is a large-scale, highly constrained combinatorial optimization problem known as the Energy Generation S...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Bhadoria, Ashutosh [verfasserIn]

Marwaha, Sanjay

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2022

Schlagwörter:

Artificial gorilla troops optimizer

Metaheuristic algorithm

Generation Scheduling Problem

Chaotic search

Hybrid optimizer

Anmerkung:

© The Author(s), under exclusive licence to Islamic Azad University 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:

Enthalten in: International journal of energy and environmental engineering - Berlin : SpringerOpen, 2010, 14(2022), 4 vom: 12. Dez., Seite 803-827

Übergeordnetes Werk:

volume:14 ; year:2022 ; number:4 ; day:12 ; month:12 ; pages:803-827

Links:

Volltext

DOI / URN:

10.1007/s40095-022-00550-0

Katalog-ID:

SPR053228650

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