Hybrid firefly-simulated annealing algorithm for the flow shop problem with learning effects and flexible maintenance activities

Author： Vahedi Nouri Behdin

Publisher： Taylor & Francis Ltd

ISSN： 0020-7543

Source： International Journal of Production Research, Vol.51, Iss.12, 2013-06, pp. : 3501-3515

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 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

An efficient hybrid evolutionary heuristic using genetic algorithm and simulated annealing algorithm to solve machine loading problem in FMS

By Yogeswaran M.

International Journal of Production Research, Vol. 47, Iss. 19, 2009-01 ,pp. : 5421-5448

Taylor & Francis Ltd

Access to resources Recommend Favorite

A hybrid artificial bee colony algorithm for the fuzzy flexible job-shop scheduling problem

By Wang Ling Zhou Gang Xu Ye Liu Min

International Journal of Production Research, Vol. 51, Iss. 12, 2013-06 ,pp. : 3593-3608

Taylor & Francis Ltd

Access to resources Recommend Favorite

A hybrid electromagnetism-like algorithm for two-stage assembly flow shop scheduling problem

By Yan Hong-Sen Wan Xiao-Qin Xiong Fu-Li

International Journal of Production Research, Vol. 52, Iss. 19, 2014-10 ,pp. : 5626-5639

Taylor & Francis Ltd

Access to resources Recommend Favorite

A GRASP algorithm for flexible job-shop scheduling problem with limited resource constraints

By Rajkumar M.

International Journal of Production Research, Vol. 49, Iss. 8, 2011-04 ,pp. : 2409-2423

Taylor & Francis Ltd

Access to resources Recommend Favorite