Title :
A population based incremental learning vector algorithm for multiobjective optimal designs
Author :
Ho, S.L. ; Yang, Shiyou
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech. Univ., Hong Kong, China
Abstract :
A vector optimizer, based on population based incremental learning (PBIL) method, is proposed and used to study a hard engineering inverse problem with good results.
Keywords :
inverse problems; learning (artificial intelligence); optimisation; vectors; PBIL method; incremental learning vector algorithm; inverse problem; multiobjective optimal designs; population based incremental learning method; vector optimizer; Algorithm design and analysis; Design engineering; Design optimization; Educational institutions; Genetic algorithms; Genetic mutations; Inverse problems; Niobium; Optimization methods; Stochastic processes;
Conference_Titel :
Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-7059-4
DOI :
10.1109/CEFC.2010.5481850
