A hybrid genetic algorithm for flowshop lot streaming with setups and variable sublots

ISSN： 0020-7543

Source： International Journal of Production Research, Vol.48, Iss.6, 2010-01, pp. : 1705-1726

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

Hybrid genetic algorithm for the economic lot-scheduling problem

By Moon I. Silver E. A. Choi S.

International Journal of Production Research, Vol. 40, Iss. 4, 2002-03 ,pp. : 809-824

Taylor & Francis Ltd

Access to resources Recommend Favorite

A hybrid genetic-immune algorithm with improved lifespan and elite antigen for flow-shop scheduling problems

By Chang Pei-Chann

International Journal of Production Research, Vol. 49, Iss. 17, 2011-09 ,pp. : 5207-5230

Taylor & Francis Ltd

Access to resources Recommend Favorite

An improved genetic algorithm for the flowshop scheduling problem

By Rajkumar R.

International Journal of Production Research, Vol. 47, Iss. 1, 2009-01 ,pp. : 233-249

Taylor & Francis Ltd

Access to resources Recommend Favorite

Solving large unconstrained multilevel lot-sizing problems using a hybrid genetic algorithm

By Dellaert N. Jeunet J.

International Journal of Production Research, Vol. 38, Iss. 5, 2000-03 ,pp. : 1083-1099

Taylor & Francis Ltd

Access to resources Recommend Favorite

The application of genetic algorithms to lot streaming in a job-shop scheduling problem

By Chan Felix Wong T. C. Chan L. Y.

International Journal of Production Research, Vol. 47, Iss. 12, 2009-01 ,pp. : 3387-3412

Taylor & Francis Ltd

Access to resources Recommend Favorite