Optimizing cutting parameters in process planning of prismatic parts by using genetic algorithms

Author： Dereli T.   Filiz I. H.   Baykasoglu A.  

Publisher： Taylor & Francis Ltd

ISSN： 0020-7543

Source： International Journal of Production Research, Vol.39, Iss.15, 2001-10, pp. : 3303-3328

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 intelligent feature-based process planning system for prismatic parts

By Patil L.   Pande S.S.  

International Journal of Production Research, Vol. 40, Iss. 17, 2002-11 ,pp. : 4431-4447

Taylor & Francis Ltd

Access to resources Recommend Favorite

Hybrid genetic algorithm and simulated annealing approach for the optimization of process plans for prismatic parts

By Li W. D.   Ong S. K.   Nee A. Y. C.  

International Journal of Production Research, Vol. 40, Iss. 8, 2002-05 ,pp. : 1899-1922

Taylor & Francis Ltd

Access to resources Recommend Favorite

Feature-based design for process planning of machining processes with optimization using genetic algorithms

By Jeba Singh D. Kingsly  

International Journal of Production Research, Vol. 43, Iss. 18, 2005-09 ,pp. : 3855-3887

Taylor & Francis Ltd

Access to resources Recommend Favorite

Optimizing the multiple constrained resources product mix problem using genetic algorithms

By Onwubolu G. C.   Mutingi M.  

International Journal of Production Research, Vol. 39, Iss. 9, 2001-06 ,pp. : 1897-1910

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