This study introduces an effective population-based optimization algorithm, namely the
Golden Search Optimization Algorithm (GSO), for numerical function optimization. The new …

Grey wolf optimizer algorithm was recently presented as a new heuristic search algorithm
with satisfactory results in real-valued and binary encoded optimization problems that are …

At present, optimization algorithms are used extensively. One particular type of such
algorithms includes random-based heuristic population optimization algorithms, which may …

The PSOGSA is a novel hybrid optimization algorithm, combining strengths of both particle
swarm optimization (PSO) and gravitational search algorithm (GSA). It has been proven that …

Optimization of multi-modal functions is challenging even for evolutionary and swarm-based
algorithms as it requires an efficient exploration for finding the promising region of the …

This paper proposes a new hybrid optimization algorithm, called “(HSSOGSA)” with the
combination of “gravitational search algorithm (GSA)” and “sperm swarm optimization …

Fox is very popular in various regions of the Globe, where representatives of this kind can be
found in Europe, Asia, North America, and even in some arctic regions. The way this …

This study proposes a new metaheuristic algorithm, called “Geometric Octal Zones Distance
Estimation”(GOZDE) algorithm to solve global optimization problems. The presented GOZDE …

One of the most powerful tools for solving optimization problems is optimization algorithms
(inspired by nature) based on populations. These algorithms provide a solution to a problem …

Particle swarm optimization (PSO), which is inspired by social behaviors of individuals in
bird swarms, is a nature-inspired and global optimization algorithm. The PSO method is …