Title :
Comparison of methods for developing dynamic reduced models for design optimization
Author :
Khaled, Rilla ; Ni, Xiao ; Vattam, Swaroop
Author_Institution :
Dept. of Comput. Sci., Georgia Univ., Athens, GA, USA
Abstract :
In this paper, we compare three methods for forming reduced models to speed up genetic algorithm (GA) based optimization. The methods work by forming functional approximations of the fitness function which are used to speed up the GA optimization by making the genetic operators more informed. Empirical results in several engineering design domains are presented
Keywords :
CAD; design engineering; function approximation; genetic algorithms; mathematical operators; reduced order systems; algorithm speedup; design optimization; dynamic reduced model development methods; engineering design domains; fitness function; functional approximations; genetic algorithm; informed genetic operators; Aircraft; Artificial intelligence; Computational modeling; Computer science; Design engineering; Design optimization; Genetic engineering; Multidimensional systems; Optimization methods; Response surface methodology;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1006266
