<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>增强版的 PSO on MU</title><link>https://choy-mutao.github.io/pso_30/enhanced/</link><description>Recent content in 增强版的 PSO on MU</description><generator>Hugo</generator><language>zh-cn</language><atom:link href="https://choy-mutao.github.io/pso_30/enhanced/index.xml" rel="self" type="application/rss+xml"/><item><title>Convergence Improvements</title><link>https://choy-mutao.github.io/pso_30/enhanced/convergence_improvements/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://choy-mutao.github.io/pso_30/enhanced/convergence_improvements/</guid><description>Summary of the most important convergence improvements developed for PSO # Convergence Improvements ## New parameters ### Inertia weight ($\omega$) ### Constriction factor($K$) ### Guaranteed Convergence PSO (GCPSO) ### Near Neighbour Ineractions ## Cooperative PSO (CPSO) ## Stretched PSO (STPSO) ## Fully Informed Particle Swarm (FIPS) ## Hybrid approaches ### Evolutionary operators #### Selection #### Mutation #### Evolutionary PSO (EPSO) ### Other algorithms #### Genetic Algorithms(GA) #### Differential Evolutionary PSO (DEEPSO) #### Simulated Annealing(SA) #### Ant Colony Optimisation(ACO)</description></item></channel></rss>