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 ...

The following equations explain the algorithm’s decision mechanism. M represents ML algorithms, W is weight of each algorithm which calculated by PSO, θ is multiplication of probability and weight, ...

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 ...

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 ...