A QOBL-SAO and its variant: An open source software for optimizing PV/wind/battery system and CEC2020 real world problems
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 Authors: | , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
ELSEVIER
2024
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| Subjects: | |
| Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001199634100001 |
| 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, epsilon MAgES and the iLSHAD epsilon. 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. |
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| ISSN: | 2665-9638 |
| DOI: | 10.1016/j.simpa.2024.100630 |