Statistical Analysis of Harmony Search Algorithms in Tuning PID Controller
Mohammed Salem, Khelfi Fayçel, Bachir Rochdi · International journal of intelligent engineering and systems · 2016
Harmony search (HS) is a new meta-heuristic optimization method inspired from improvisation process in jazz music searching for a perfect state of harmony.HS has been improved based on parameters settings updating and hybridization.In this paper, HS and four of its variants are compared via Wilcoxon and Friedman nonparametric tests using benchmark functions.Statistical analysis highlights the Global best harmony search as the best variant.Harmony Search algorithm and its variants are also applied to adjust the gains of PID controller of an inverted pendulum nonlinear system giving remarkable results when compared to genetic algorithm.