Fennec Fox Optimization: A New Nature-Inspired Optimization Algorithm

This paper proposes a new nature-based metaheuristic algorithm called Fennec Fox Optimization (FFA), mimicking two natural behaviors of the animal in nature. Concretely, Fennec’s digging ability and escape strategy from wild predators were fundamental inspiration for proposed FFA. The mathematical model FFA is presented phases based on imitating these behaviors. First, efficiency was evaluated optimization sixty-eight standard benchmark functions four engineering design problems. Second, performance challenged against eight well-known algorithms. results show that perfectly balances exploration exploitation searching global optimum. Hence, can provide suitable solutions to comparison indicates superiority most objective over competitor algorithms providing optimal solution.