🔧 🐝 A set of classes implementing single- and multi-objective Particle Swarm Optimization techniques for Cloudlet scheduling and WSN Localization optimizations. This code is part of the thesis ...

The Particle Swarm Optimization bases swarm intelligence. The particles (solutions) were initialized randomly at search space then while changing each particle’s direction (velocity) every particle ...

A particle swarm optimization (PSO) method is applied to finding the optimum degree distributions of check and bit nodes of an irregular low-density parity-check (LDPC) code. This population based ...

Discover how Particle Swarm Optimization algorithm can accurately determine material parameters in elastic strain-energy functions. Simulation of rubber behavior using various strain-energy functions.

Multi-swarm optimization (MSO) is a powerful variation of particle swarm optimization. Understanding how MSO works and how to implement it can be a valuable addition to your developer toolkit.

This article explains how particle swarm optimization can be used to train a neural network and presents the complete source code for the demo program. This article focuses on PSO and assumes you have ...

DNA computing has efficient computational power, but requires high requirements on the DNA sequences used for coding, and reliable DNA sequences can effectively improve the quality of DNA encoding.