Particle Swarm Optimization

New

Particle Swarm Optimization (PSO) is a population-based metaheuristic optimization algorithm inspired by the collective social behavior of biological swarms, such as bird flocking and fish schooling. By simulating cooperative interactions among particles in a search space, PSO efficiently explores complex optimization problems and has become widely used due to its simplicity, flexibility, and strong global search capability.