Design of manufacturing systems by a hybrid approach with neural network metamodelling and stochastic local search

ISSN： 0020-7543

Source： International Journal of Production Research, Vol.40, Iss.1, 2002-01, pp. : 71-92

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

A self-organized neural network metamodelling and clonal selection optimization-based approach for the design of a manufacturing system

By Anand R. B.

International Journal of Production Research, Vol. 44, Iss. 6, 2006-03 ,pp. : 1147-1170

Taylor & Francis Ltd

Access to resources Recommend Favorite

Analysis and design of split and merge unpaced assembly systems by metamodelling and stochastic search

By Bulgak A. A.

International Journal of Production Research, Vol. 44, Iss. 18-19, 2006-01 ,pp. : 4067-4080

Taylor & Francis Ltd

Access to resources Recommend Favorite

A transiently chaotic neural network approach to the design of cellular manufacturing

By Soleymanpour M. Vrat P. Shankar R.

International Journal of Production Research, Vol. 40, Iss. 10, 2002-07 ,pp. : 2225-2244

Taylor & Francis Ltd

Access to resources Recommend Favorite

Neural network-based quality controllers for manufacturing systems

By Chinnam R. B. Kolarik W. J.

International Journal of Production Research, Vol. 35, Iss. 9, 1997-09 ,pp. : 2601-2620

Taylor & Francis Ltd

Access to resources Recommend Favorite

Comparison of push and pull systems with transporters: a metamodelling approach

By Damodaran P. Melouk S.

International Journal of Production Research, Vol. 40, Iss. 12, 2002-08 ,pp. : 2923-2936

Taylor & Francis Ltd

Access to resources Recommend Favorite