Title :
A heuristic genetic algorithm for grouping manufacturing cells
Author :
Chu, Chao-Hsien ; Tsai, Chang-Chun
Author_Institution :
Pennsylvania State Univ., University Park, PA, USA
Abstract :
In this paper, an efficient heuristic genetic algorithm (GA), considering the domain-specific characteristics of manufacturing cell design, was developed to model the cell formation (CF) problems. Its performance was compared with an optimization model and the traditional GA approach. Our study confirmed that considering domain-specific characteristics in the crossover and mutation operators could obtain very promising results
Keywords :
genetic algorithms; heuristic programming; industrial control; cell formation problems; domain-specific characteristics; heuristic genetic algorithm; manufacturing cells grouping; mutation operators; optimization model; Batch production systems; Biological system modeling; Buildings; Cellular manufacturing; Chaos; Flexible manufacturing systems; Flow production systems; Genetic algorithms; Genetic mutations; Group technology;
Conference_Titel :
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
Conference_Location :
Seoul
Print_ISBN :
0-7803-6657-3
DOI :
10.1109/CEC.2001.934406
