This repository contains a Python implementation of the Particle Swarm Optimization (PSO) algorithm for solving the piece packing problem. The goal of the algorithm is to find the best arrangement of ...

The PSO algorithm is used in gradient-based PSO algorithms to explore several local minima and discover a location in the basin of attraction of a deep local ... And lastly, we have taken a hands-on ...

One of the most important parameters in PSO algorithm is inertia weight. It gives the balance between exploration and exploitation. Exploration is searching for new solutions in the unknown areas ...

PSO gives algorithms different weights considering their success with 10 iterations and 100 swarms. ... attacks that have been developed by hacking algorithms and applied into datasets which have been ...

Particle Swarm Optimization (PSO) and Harmony Search (HS) algorithms are efficient algorithms in dealing with optimization problems. In this paper, a novel PSO/HS based algorithm (PH) is generated ...

Recently Particle Swarm Optimization (PSO) algorithm gained popularity and employed in many engineering applications because of its simplicity and efficiency. The performance of the PSO algorithm can ...

This study demonstrates that the improved PSO algorithm offers a practical and efficient solution for optimizing high-rise buildings against wind loads. By accommodating discrete variables and complex ...