Title :
The K-CMA Algorithm for Solving Multi-modal Function Optimization Problems
Author :
Meiyi, Li ; Qiong, Wu ; Wei, You
Author_Institution :
Coll. of Inf. Eng., Xiangtan Univ., Xiangtan, China
Abstract :
Multi-modal function optimization must be solved when people meet with complex reality problems. With resort to the prominent search performance of CMA-ES and clustering theory, a new algorithm-K-CMA algorithm was presented. By searching local peaks and global peaks of four multi-modal functions, it can be seen from the results that this algorithm has a better result in convergence of algorithm and success rate.
Keywords :
covariance matrices; optimisation; pattern clustering; search problems; algorithm convergence; clustering theory; covariance matrix adaptation evolution strategy; global peaks searching; local peaks searching; multimodal function; optimization problems; Clustering algorithms; Covariance matrix; Educational institutions; Equations; Genetic algorithms; Intelligent systems; Laboratories; Manufacturing; Particle swarm optimization; Testing; K-CMA algorithm; multi-modal function optimization;
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
DOI :
10.1109/GCIS.2009.22
