Predicting the environmental economic dispatch problem for reducing waste nonrenewable materials via an innovative constraint multi-objective Chimp Optimization Algorithm

The usage of conventional fossil fuels has aided fast economic growth while also having negative consequences, such as increased global warming and the destruction of the ecosystem. This paper proposes a novel swarm-based metaheuristic method called Chimp Optimization Algorithm (ChOA) to tackle the...

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Veröffentlicht in:	Journal of cleaner production Jg. 365; S. 132697
Hauptverfasser:	Zhu, Lei, Ren, Hao, Habibi, Mostafa, Mohammed, Khidhair Jasim, Khadimallah, Mohamed Amine
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 10.09.2022
Schlagworte:	algorithms Anisoptera (Odonata) Carbon emission reduction Chimp optimization algorithm economic development economic dispatch ecosystems energy costs Environmental economic dispatch grasshoppers memory Multi-objective optimization swarms variance covariance matrix whales Chimp optimization algorithm Multi-objective optimization Environmental economic dispatch Carbon emission reduction
ISSN:	0959-6526
Online-Zugang:	Volltext
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