Title :
An efficient chromosome encoding and problem-specific mutation methods for the flexible bay facility layout problem
Author :
Eklund, Neil H. ; Embrechts, Mark J. ; Goetschalckx, Marc
Author_Institution :
GE Global Res. Center, Niskayuna, NY, USA
Abstract :
Two chromosome encoding methods (one novel and one previously published) are compared for finding solutions to the NP-hard flexible bay facilities layout problem via genetic algorithm. Both methods capitalize on the random key GA approach to produce chromosomes that are viable for any set of allele values. In addition, the effect of two problem-specific mutation methods is assessed for one of the encoding methods.
Keywords :
computational complexity; facility location; genetic algorithms; minimisation; NP-hard problem; allele value; chromosome encoding; flexible bay facility layout problem; genetic algorithm; near-optimal solution; optimal layout; problem-specific mutation method; random key genetic algorithm; Biological cells; Cost function; Encoding; Genetic algorithms; Genetic engineering; Genetic mutations; Laboratories; Production facilities; Systems engineering and theory; Transportation;
Conference_Titel :
Soft Computing in Industrial Applications, 2003. SMCia/03. Proceedings of the 2003 IEEE International Workshop on
Print_ISBN :
0-7803-7855-5
DOI :
10.1109/SMCIA.2003.1231353
