Multi-Objective Artificial Bee Colony Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization Problems

Multi-Objective Artificial Bee Colony Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization Problems

Passive power filters (PPFs) are most effective in mitigating harmonic pollution from power systems; however, the design of PPFs involves several objectives, which makes them a complex multiple-objective optimization problem. This study proposes a method to achieve an optimal design of PPFs. We have...

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Dettagli Bibliografici
Autori principali:	Nien-Che Yang, Danish Mehmood, Kai-You Lai
Natura:	Articolo
Lingua:	English
Pubblicazione:	MDPI AG 2021-12-01
Serie:	Mathematics
Soggetti:	artificial bee colony algorithm harmonic Pareto front passive power filters minimum Manhattan distance
Accesso online:	https://www.mdpi.com/2227-7390/9/24/3187

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