Filip is a long-time gamer and writer with ample experience in both of these industries. Having started his gaming adventure with the venerable PSX, Filip soon discovered dedicated gaming magazines, ...

Particle Swarm Optimization (PSO) is a population-based metaheuristic inspired by the collective movement of social organisms. Since its inception in the mid-1990s, PSO has undergone extensive ...

pyswarm is a gradient-free, evolutionary optimization library for Python that implements Particle Swarm Optimization (PSO) with built-in support for constraints. It is lightweight, easy to use, and ...

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling ...

Abstract: A novel consensus-based particle swarm optimization-guided surrogate-enhanced methodology (ACP-S) is developed to solve expensive black-box optimization (EBBO) problems. The proposed ...

This paper presents an application of swarm intelligence to a hundred-year-old problem in mathematics, the Hausdorff moment problem (HMP), where one reconstructs a density function from its moments.

To address the issues of insufficient control parameter identification accuracy and convergence speed during the grid connection of distributed power sources, a control parameter identification method ...

Abstract: Aiming at the weaknesses of Particle Swarm Optimization algorithm (PSO) such as the easiness to get trapped into local optimal, slow convergence speed, and low precision, an improved PSO ...