Fossa Optimization Algorithm: A New Bio-Inspired Metaheuristic Algorithm for Engineering Applications
Hamadneh T. Batiha B. Werner F. Montazeri Z. Dehghani M. Bektemyssova G. Eguchi K.
2024Intelligent Network and Systems Society
International Journal of Intelligent Engineering and Systems
2024#17Issue 51038 - 1047 pp.
This paper presents a novel bio-inspired metaheuristic algorithm termed the Fossa Optimization Algorithm (FOA), which emulates the natural hunting behavior of the fossa in its habitat. FOA draws its core inspiration from the two-stage hunting technique of the fossa, involving an initial attack on a spotted lemur followed by a pursuit through the trees. The theoretical framework of FOA is elaborated, and its implementation is mathematically modeled in two distinct phases: (i) exploration, which simulates the fossa’s positional adjustments during the initial attack on the lemur, and (ii) exploitation, which models the positional changes of the fossa during the chase. The efficacy of FOA is tested against twenty-two constrained optimization problems from the CEC 2011 test suite, as well as four engineering design challenges. The optimization results demonstrate FOA’s strong capabilities in both exploration and exploitation, maintaining a balance that facilitates convergence to optimal solutions. FOA’s performance is benchmarked against twelve established algorithms, showing that it consistently outperforms its competitors by delivering superior results and ranking as the top optimizer in most of the evaluated functions. These findings indicate that FOA is highly effective in addressing optimization tasks in real-world scenarios.
Exploitation , Exploration , Fossa , Metaheuristic , Optimization
Text of the article Перейти на текст статьи
Department of Mathematics, Al Zaytoonah University of Jordan, Amman, 11733, Jordan
Jadara Research Center, Jadara University, Irbid, 21110, Jordan
Department of Mathematics, Faculty of Science and Information Technology, Jadara University, Irbid, 21110, Jordan
Faculty of Mathematics, Otto-von-Guericke University, P.O. Box 4120, Magdeburg, 39016, Germany
Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, 7155713876, Iran
Department of Computer Engineering, International Information Technology University, Almaty, 050000, Kazakhstan
Department of Information Electronics, Fukuoka Institute of Technology, Japan
Department of Mathematics
Jadara Research Center
Department of Mathematics
Faculty of Mathematics
Department of Electrical and Electronics Engineering
Department of Computer Engineering
Department of Information Electronics
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026