A QOBL-SAO and its variant: An open source software for optimizing PV/wind/battery system and CEC2020 real world problems[Formula presented]
The Quasi oppositional smell agent optimization (QOBL-SAO) and its levy flight variant (LFQOBL-SAO) are two cutting-edge software tools for optimizing PV/wind/battery power systems. They can also be used to solve real-world CEC2020 optimization problems and are as good as top-performing software suc...
| Published in: | Software Impacts |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186083090&doi=10.1016%2fj.simpa.2024.100630&partnerID=40&md5=76e4e338c27918cd461cd6c8346e32f3 |
| Summary: | The Quasi oppositional smell agent optimization (QOBL-SAO) and its levy flight variant (LFQOBL-SAO) are two cutting-edge software tools for optimizing PV/wind/battery power systems. They can also be used to solve real-world CEC2020 optimization problems and are as good as top-performing software such as IUDE, ϵ MAgES and the iLSHAD ɛ. The QOBL-SAO exploits the random mode's weakness and then adds a number to the initial population. The LFQOBL-SAO, on the other hand, improves the random mode's weakness in order to solve this problem. The LFQOBL-SAO improves performance and search space by using levy flight instead of random code. © 2024 The Author(s) |
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| ISSN: | 26659638 |
| DOI: | 10.1016/j.simpa.2024.100630 |