A particle swarm optimization algorithm for hybrid flow-shop scheduling with multiprocessor tasks

ISSN： 0020-7543

Source： International Journal of Production Research, Vol.46, Iss.17, 2008-09, pp. : 4655-4670

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 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 effective hybrid DE-based algorithm for flow shop scheduling with limited buffers

By Qian B.

International Journal of Production Research, Vol. 47, Iss. 1, 2009-01 ,pp. : 1-24

Taylor & Francis Ltd

Access to resources Recommend Favorite

A hybrid neural network-genetic algorithm approach for permutation flow shop scheduling

By Noorul Haq A.

International Journal of Production Research, Vol. 48, Iss. 14, 2010-01 ,pp. : 4217-4231

Taylor & Francis Ltd

Access to resources Recommend Favorite

Scheduling multistage hybrid flowshops with multiprocessor tasks by an effective heuristic

By Ying Kuo-Ching

International Journal of Production Research, Vol. 47, Iss. 13, 2009-01 ,pp. : 3525-3538

Taylor & Francis Ltd

Access to resources Recommend Favorite

A novel hybrid meta-heuristic algorithm for a no-wait flexible flow shop scheduling problem with sequence dependent setup times

By Jolai F.

International Journal of Production Research, Vol. 50, Iss. 24, 2012-12 ,pp. : 7447-7466

Taylor & Francis Ltd

Access to resources Recommend Favorite