Title: Modified African vulture optimisation algorithm using inertia weight and Clerc-Kennedy formula

Authors: Saleh Masoud Abdallah Altbawi; Saifulnizam Bin Abdul Khalid; Rayan Hamza Alsisi; Touqeer Ahmed Jumani; Zeeshan Ahmad Arfeen

Addresses: Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Johor, Malaysia; Department of Electrical and Electronic Engineering, College of Science and Technology Umm Al-Aranib, Umm Al-Aranib, Libya ' Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Johor, Malaysia ' Department of Electrical Engineering, Faculty of Engineering, Islamic University of Madinah, Madinah 41411, Saudi Arabia ' Department of Electrical Engineering and Computer Science, College of Engineering, A'Sharqiyah University, Ibra PO box 400, Oman ' Department of Electrical Engineering, The Islamia University of Bahawalpur, Bahawalpur, 63100 – Southern Punjab, Pakistan

Abstract: This study introduces the modified African vulture optimisation algorithm (MAVOA) as an enhancement of the existing African vulture optimisation algorithm (AVOA). MAVOA addresses several limitations of AVOA, including suboptimal solutions and premature convergence due to demographic homogeneity. The MAVOA involve incorporating the Clerc-Kennedy formula and adjusting the inertia weight, which leads to faster convergence and better-quality hyper parameter approximation. One notable feature of MAVOA is its flexibility, allowing it to dynamically regulate its search strategy to balance local exploitation and global exploration. Comparative evaluations against other algorithms demonstrate the superior performance of MAVOA. This study also showcases MAVOA's effectiveness through real-world engineering challenges, highlighting its potential for various optimisation applications.

Keywords: African vulture optimisation algorithm; AVOA; metaheuristic; optimisation; benchmark; economic load dispatch; ELD.

DOI: 10.1504/IJBIC.2026.155144

International Journal of Bio-Inspired Computation, 2026 Vol.27 No.4, pp.229 - 245

Accepted: 28 Apr 2025
Published online: 28 Jul 2026 *

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