Title :
Population optimization algorithm based on ICA
Author :
Qingfu Zhang ; Allinson, Ngel M. ; Yin, Hujun
Author_Institution :
Dept. of Electr. Eng. & Electron., Univ. of Manchester Inst. of Sci. & Technol., UK
Abstract :
We propose a new population optimization algorithm called univariate marginal distribution algorithm with independent component analysis (UMDA/ICA). Our main idea is to incorporate ICA into the UMDA algorithm in order to tackle the interrelations among variables. We demonstrate that UMDA/ICA performs better than UMDA for a test function with highly correlated variables
Keywords :
genetic algorithms; principal component analysis; ICA; UMDA algorithm; genetic algorithms; highly correlated variables; independent component analysis; population optimization algorithm; univariate marginal distribution algorithm; variable interrelations; Algorithm design and analysis; Approximation algorithms; Computational efficiency; Electronic design automation and methodology; Evolution (biology); Genetic mutations; Independent component analysis; Performance analysis; Probability distribution; Testing;
Conference_Titel :
Combinations of Evolutionary Computation and Neural Networks, 2000 IEEE Symposium on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-6572-0
DOI :
10.1109/ECNN.2000.886216
