Emended snake optimizer to solve multiobjective hybrid energy generation scheduling

This paper proposes an emended snake optimizer (ESO) for solving hydrothermal, pumped hydro, and solar generators? non-convex, highly constrained, and non-linear power generation scheduling problem. The generation scheduling problem aims to reduce thermal generator operating costs and pollutants by...

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Vydané v:	Yugoslav Journal of Operations Research Ročník 34; číslo 4; s. 627 - 668
Hlavní autori:	Kaur, Avneet, Dhillon, J.S., Singh, Manmohan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	University of Belgrade 2024
Predmet:	coordinated generation scheduling metaheuristics optimization opposition-based learning optimization problem renewable energy simplex search method snake optimization algorithm
ISSN:	0354-0243, 1820-743X
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