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...
| Published in: | APPLIED SOFT COMPUTING |
|---|---|
| Main Authors: | , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
ELSEVIER
2023
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| Subjects: | |
| Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001149591700001 |