微粒群算法的经典文献 We consider an n job m machine lot streaming problem in a flowshop with equal size sublots where the objective is to minimize the total weighted earliness and tardiness To solve this problem we first propose a so called net benefit of mov
Particle System API by David McAllister version 1.11 February 2, 1999 (Groundhog Day) http://www.cs.unc.edu/~davemc/Particle Running the PSpray Demo To run the PSpray demo, click on pspray.exe and the demo will start by drawing a fountain. It uses m
This book is the first to deal exclusively with particle swarm optimization. In his Swarm Intelligence , originally entitled Particle Swarm Optimization (PSO), my friend Jim Kennedy has devoted three chapters out of eleven to this subject, above all
最新PSO，最优化，粒子群最优化算法。Previously titled "Another Particle Swarm Toolbox" Introduction Particle swarm optimization (PSO) is a derivative-free global optimum solver. It is inspired by the surprisingly organized behaviour of large groups of simple animals
