Multi-objective optimal power flow problem using constrained dynamic multitasking multi-objective optimization algorithm

The multi-objective optimal power flow (MOOPF) problem involves conflicting objectives and complex constraints, presenting a significant challenge for existing optimization methods. To address constrained multi-objective optimization problems (CMOPs), a recent evolutionary multi-tasking (EMT) framew...

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Vydané v:	Swarm and evolutionary computation Ročník 93; s. 101850
Hlavní autori:	Zhu, Junhua, Yu, Xiaobing, Wang, Feng, Mao, Yaqi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.03.2025
Predmet:	Auxiliary task Constrained multi-objective optimization Constraint handling technique Knowledge transfer Optimal power flow Auxiliary task MOOPF OPF IGD UPF FR EMT Knowledge transfer CHT CDP HV CV Optimal power flow CMOP CMOEA Constrained multi-objective optimization CPF MOEA LVD Constraint handling technique
ISSN:	2210-6502
On-line prístup:	Získať plný text
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