Optimization of injection moulding conditions with user-definable objective functions based on a genetic algorithm

Author： Y.-M. Deng   Y. C. Lam   G. A. Britton  

Publisher： Taylor & Francis Ltd

ISSN： 0020-7543

Source： International Journal of Production Research, Vol.42, Iss.7, 2004-04, pp. : 1365-1390

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

An evolutionary approach for cooling system optimization in plastic injection moulding

By Y. C. Lam   L. Y. Zhai   K. Tai   S. C. Fok  

International Journal of Production Research, Vol. 42, Iss. 10, 2004-05 ,pp. : 2047-2061

Taylor & Francis Ltd

Access to resources Recommend Favorite

Hybrid approach for genetic algorithm and Taguchi's method based design optimization in the automotive industry

By Karen İ.  

International Journal of Production Research, Vol. 44, Iss. 22, 2006-11 ,pp. : 4897-4914

Taylor & Francis Ltd

Access to resources Recommend Favorite

Thermal conditions in stereolithography injection mould tooling and their use for polyether-ether-ketone moulding

By Harris R.A.   Hague R.J.M.   Dickens P.M.  

International Journal of Production Research, Vol. 42, Iss. 1, 2004-01 ,pp. : 119-129

Taylor & Francis Ltd

Access to resources Recommend Favorite

A multi-objective genetic algorithm approach to the design of cellular manufacturing systems

By Maghsud Solimanpur  

International Journal of Production Research, Vol. 42, Iss. 7, 2004-04 ,pp. : 1419-1441

Taylor & Francis Ltd

Access to resources Recommend Favorite

Optimisation of cutting parameters using a multi-objective genetic algorithm

By Solimanpur M.   Ranjdoostfard F.  

International Journal of Production Research, Vol. 47, Iss. 21, 2009-01 ,pp. : 6019-6036

Taylor & Francis Ltd

Access to resources Recommend Favorite