Research Output
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 such as IUDE, 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.

  • Type:

    Article

  • Date:

    23 February 2024

  • Publication Status:

    Published

  • Publisher

    Elsevier BV

  • DOI:

    10.1016/j.simpa.2024.100630

  • Funders:

    New Funder

Citation

Mas’ud, A. A., Salawudeen, A. T., Umar, A. A., Shaaban, Y. A., Muhammad-Sukki, F., Musa, U., & Alshammari, S. J. (2024). A QOBL-SAO and its variant: An open source software for optimizing PV/wind/battery system and CEC2020 real world problems. Software Impacts, 19, Article 100630. https://doi.org/10.1016/j.simpa.2024.100630

Authors

Keywords

Smell agent optimization; Levy flight smell agent optimization; Quasi oppositional smell agent optimization

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