Particle swarm optimization (PSO) is a population-based stochastic optimization algorithm
motivated by intelligent collective behavior of some animals such as flocks of birds or …

The particle swarm optimization (PSO) is a population-based stochastic optimization
technique by the social behavior of bird flocking and fish schooling. The PSO has a high …

Voltage instability is a major challenge facing power system (PS) that has affected some
organizations in achieving their desired goals. Therefore, voltage instability is the …

This paper presents a physics-inspired metaheuristic optimization algorithm, known as
Electromagnetic Field Optimization (EFO). The proposed algorithm is inspired by the …

In this research, we undertake intelligent skin cancer diagnosis based on dermoscopic
images using a variant of the Particle Swarm Optimization (PSO) algorithm for feature …

Particle swarm optimization is one of the most effective optimization algorithms motivated by
bird flocking behaviours. Population topology is a key aspect of particle swarm optimization …

Robust invisible watermarking plays an important role in copyright protection. Such
watermarking has high requirements for robustness and security, and transparency and …

Binary Particle swarm optimization (BPSO) is one of the most popular swarm intelligence
algorithms to solve binary optimization problems. It has a few parameters, simple structure …

Balancing exploration and exploitation according to evolutionary states is crucial to meta-
heuristic search (M-HS) algorithms. Owing to its simplicity in theory and effectiveness in …

Definitive optimization algorithms are not able to solve high-dimensional optimization
problems because the search space grows exponentially with the problem size and an …