Optimization is a common phenomenon that we encounter in our daily routine, which
involves selecting the best option from a set of alternatives. A lot of algorithms have been …

This paper proposes a novel nature-inspired optimization algorithm called the Fox optimizer
(FOX) which mimics the foraging behavior of foxes in nature when hunting preys. The …

This paper proposes a new nature-based metaheuristic algorithm called Fennec Fox
Optimization (FFA), mimicking two natural behaviors of the animal Fennec Fox in nature …

Researchers from different domains have developed several metaheuristic algorithms that
are inspired by the biological phenomenon. In this work, we propose a novel algorithm that …

Metaheuristic algorithms are intelligent optimization approaches that lead the searching
procedure through utilizing exploitation and exploration. The increasing complexity of real …

Numerous optimization problems designed in different branches of science and the real
world must be solved using appropriate techniques. Population-based optimization …

In this paper, to keep the researchers interested in nature-inspired algorithms and
optimization problems, a comprehensive survey of the group search optimizer (GSO) …

The proposed paper introduces a new optimization algorithm inspired by nature called the
polar fox optimization algorithm (PFA). This algorithm addresses the herd life of polar foxes …

This paper proposes a novel meta-heuristic algorithm, named DHOA, which is inspired by
the hunting behavior of humans toward deer. Even though the activities of the hunters differ …

From the early 1990s, the introduction of the term “Computational Intelligence”(CI)
highlighted the potential applicability of this field. One of the preliminary applications of the …