Metaheuristics, providing high level guidelines for heuristic optimisation, have successfully
been applied to many complex problems over the past decades. However, their …

The coati optimization algorithm (COA) is a recently proposed heuristic algorithm. The COA
algorithm, which solved the continuous optimization problems in its original paper, has been …

Galactic Swarm Optimization (GSO) is an optimization method inspired by the movements of
stars and star clusters in the galaxy. This method aims to find the best solution in two phases …

Artificial neural network (ANN), developed by modeling the nervous system of the human
brain, is an important and effective data processing method used today. The most important …

Abstract Arithmetic Optimization Algorithm (AOA) is a heuristic method developed in recent
years. The original version was developed for continuous optimization problems. Its success …

The present paper introduces a modified flower pollination algorithm (FPA) enhanced by
evolutionary operators to solve the uncapacitated facility location problem (UFLP), which is …

Metaheuristic algorithms are recommended and frequently used methods for solving
optimization problems. Today, it has been adapted to many challenging problems and its …

Route optimization is a common problem that has been quite common from the past to the
present. Its success has been proved in the literature by effectively solving various real …

Optimization problems occur in three different structures: continuous, discrete, and hybrid.
Metaheuristic algorithms, which are frequently preferred in the solution of optimization …

Deploying drones in different real-life world applications can enhance user experience and
maximize system benefits. The “Drone Box” project launched by Dubai aims to reduce the …