caa a22 4500 475798309 CHVBK 20180406123730.0 cr unu---uuuuu 170329e20000601xx s 000 0 eng 10.1007/s001700070057 doi (NATIONALLICENCE)springer-10.1007/s001700070057 An Adaptive Genetic Algorithm for Manufacturing Cell Formation [Elektronische Daten] [K. L. Mak, Y. S. Wong, X. X. Wang] An adaptive genetic approach is proposed as an effective means of providing the optimal solution to the manufacturing cell formation problem in the design of cellular manufacturing systems. The proposed approach generates the optimal formation of machine cells and part families by sequencing the rows and columns of a machine-part incidence matrix, so as to maximise the bond energy of the incidence matrix. In order to enhance the performance of the genetic search process, an adaptive scheme is adopted, so that the genetic parameters can be adjusted during the genetic search process. The effectiveness of the proposed approach is demonstrated by applying it to two numerical examples and 11 benchmark problems obtained from the literature. The computational results show that the proposed approach provides a powerful but simple means of solving the manufacturing cell formation problem and thus facilitates the design of cellular manufacturing systems.: Springer-Verlag London Limited, 2000 Keywords:Cell formation problem nationallicence Cellular manufacturing systems nationallicence Genetic algorithms nationallicence Mak K. L. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, HK aut Wong Y. S. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, HK aut Wang X. X. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, HK aut https://doi.org/10.1007/s001700070057 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s001700070057 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Mak K. L. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, HK aut NATIONALLICENCE 700 1- Wong Y. S. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, HK aut NATIONALLICENCE 700 1- Wang X. X. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, HK aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer