Real-world engineering design problems are widespread in various research disciplines in
both industry and industry. Many optimization algorithms have been employed to address …

Engineering design problems are usually large-scale constrained optimization problems,
and metaheuristic algorithms are vital for solving such complex problems. Therefore, this …

This work proposes a new meta-heuristic method called Arithmetic Optimization Algorithm
(AOA) that utilizes the distribution behavior of the main arithmetic operators in mathematics …

This paper introduces a novel bio-inspired meta-heuristic optimization algorithm, named
termite life cycle optimizer (TLCO), which is based on both the life cycle of a termite colony …

This paper introduces a new meta-heuristic technique, named geometric mean optimizer
(GMO) that emulates the unique properties of the geometric mean operator in mathematics …

Abstract Prairie Dog Optimization is a population-based optimization method that uses the
behavior of prairie dogs to find the optimal solution. This paper proposes a novel …

Swarm intelligence based optimization methods have been proposed by observing the
movements of alive swarms such as bees, birds, cats, and fish in order to obtain a global …

In 2021, a meta-heuristic algorithm, Reptile Search Algorithm (RSA), was proposed. RSA
mainly simulates the cooperative predatory behavior of crocodiles. Although RSA has a fast …

Metaheuristic optimization methods; It is a well-known global optimization approach for large-
scale search and optimization problems, commonly used to find the solution many different …

The seagull optimization algorithm (SOA) is a recently proposed meta-heuristic optimization
algorithm inspired by seagull foraging behavior. It has the advantages of simple structure …