Based on the Cauchy distribution reproduce mode improved IWO algorithm research and application
Yuantao Sun, Qing Zhang, Dan Wu · 2010
The paper introduces a novel numerical stochastic optimization algorithm that is Invasive Weed Optimization (IWO) inspired from colonizing weeds, which has better robustness, adaptation and randomness. To improve the IWO the ability to deal with high dimension test function so that better serve to solve complex problem, according to IWO algorithm theory and process, the paper discuss the distribution mode inflect with the IWO, that compared the difference between Cauchy distribution and Gauss distribution. Based on the compared result, IWO can easily jump out local optimal solution and has a good result. Then the paper select Cauchy distribution reproduce mode to solve the ZPMC 7500t floating crane secondorder mode dynamics optimization problem, which confirms the method valid.