This paper presents a novel nature-inspired optimization paradigm, named as squirrel
search algorithm (SSA). This optimizer imitates the dynamic foraging behaviour of southern …

This paper presents a bio-inspired algorithm called Sooty Tern Optimization Algorithm
(STOA) for solving constrained industrial problems. The main inspiration of this algorithm is …

This article introduces a new metaheuristic algorithm called the Serval Optimization
Algorithm (SOA), which imitates the natural behavior of serval in nature. The fundamental …

Cuckoo search is one of many nature-inspired algorithms used extensively to solve
optimisation problems in different fields of engineering. It is a very effective in solving global …

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 …

Nature-inspired metaheuristic approaches draw their core idea from biological evolution in
order to create new and powerful competing algorithms. Such algorithms can be divided into …

Squirrel search algorithm (SSA) is a new biological‐inspired optimization algorithm, which
has been proved to be more effective for solving unimodal, multimodal, and …

This paper presents, a novel nature-inspired optimization paradigm, named as owl search
algorithm (OSA) for solving global optimization problems. The OSA is a population based …

The Aquila optimizer (AO) is a recently developed swarm algorithm that simulates the
hunting behavior of Aquila birds. In complex optimization problems, an AO may have slow …

Abstract Crow Search Algorithm (CSA) is a swarm-based single-objective optimizer
proposed in recent years, which tried to inspire the behavior of crows that hide foods in …