@inproceedings{8e9ae6ad40ee4de7ad7d359c9ebd58cd,
title = "A genetic algorithm for integrated cell formation and layout decisions",
abstract = "Presents a hierarchical genetic algorithm (GA) to solve the cell formation and layout decisions of cellular manufacturing. The intrinsic features of our proposed GA include using a hierarchical chromosome structure to encode concurrent cell design and layout decisions, developing a new selection scheme to dynamically consider two highly correlated fitness functions, and proposing a group mutation operator to increase the probability of mutation. Our tests show that these modifications are fairly effective in improving solution quality as well as shortening the speed of convergence.",
author = "Xiaodan Wu and Chu, {Chao Hsien} and Yunfeng Wang and Weli Yan",
year = "2002",
month = jan,
day = "1",
doi = "10.1109/CEC.2002.1004527",
language = "English (US)",
isbn = "0780372824",
series = "Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002",
publisher = "IEEE Computer Society",
pages = "1866--1871",
booktitle = "Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002",
address = "United States",
note = "2002 Congress on Evolutionary Computation, CEC 2002 ; Conference date: 12-05-2002 Through 17-05-2002",
}