Metaheuristics play a crucial role in solving optimization problems. The majority of such
algorithms are inspired by collective intelligence and foraging of creatures in nature. In this …

The African vultures optimization algorithm (AVOA) is a recently proposed metaheuristic
inspired by the African vultures' behaviors. Though the basic AVOA performs very well for …

Metaheuristic optimization algorithms are one of the most effective methods for solving
complex engineering problems. However, the performance of a metaheuristic algorithm is …

This study presents a new nature-inspired optimization algorithm, namely the Mantis Search
Algorithm (MSA), inspired by the unique hunting behavior and sexual cannibalism of praying …

This paper presents a novel meta-heuristic algorithm named Chameleon Swarm Algorithm
(CSA) for solving global numerical optimization problems. The base inspiration for CSA is …

Aquila Optimizer (AO) and African Vultures Optimization Algorithm (AVOA) are two newly
developed meta-heuristic algorithms that simulate several intelligent hunting behaviors of …

Optimization is a buzzword, whenever researchers think of engineering problems. This
paper presents a new metaheuristic named dingo optimizer (DOX) which is motivated by the …

This paper presents a multi-objective version of the artificial vultures optimization algorithm
(AVOA) for a multi-objective optimization problem called a multi-objective AVOA (MOAVOA) …

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

In this paper, a new bio-inspired metaheuristic algorithm called Tasmanian Devil
Optimization (TDO) is designed that mimics Tasmanian devil behavior in nature. The …