A Quasi oppositional smell agent optimization and its levy flight variant: A PV/Wind/battery system optimization application

A Quasi oppositional smell agent optimization and its levy flight variant: A PV/Wind/battery system optimization application

In this study, two novel algorithms are developed: the quasi-oppositional smell agent optimization (QOBL-SAO) and its levy flight variation (LFQOBL-SAO), and their performance is compared to that of the conventional smell agent optimization (SAO). Two investigations were carried out. First, the capa...

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Bibliographic Details
Published in:Applied Soft Computing
Main Author: Mas'ud A.A.; Salawudeen A.T.; Umar A.A.; Aziz A.S.; Shaaban Y.A.; Muhammad-Sukki F.; Musa U.
Format: Article
Language:English
Published: Elsevier Ltd 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171620447&doi=10.1016%2fj.asoc.2023.110813&partnerID=40&md5=2137001129b18ce49abef6baf4c23cfd

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171620447&doi=10.1016%2fj.asoc.2023.110813&partnerID=40&md5=2137001129b18ce49abef6baf4c23cfd

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