An improved multi-objective genetic algorithm for fuzzy flexible job-shop scheduling problem

Author： Wang Xiaojuan   Li Wenfeng   Zhang Ying  

Publisher： Inderscience Publishers

ISSN： 0952-8091

Source： International Journal of Computer Applications in Technology, Vol.47, Iss.2-3, 2013-06, pp. : 280-288

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 multi-objective genetic algorithm for fuzzy flexible job-shop scheduling problem

By Wang Xiaojuan   Gao Liang   Zhang Chaoyong   Li Xinyu  

International Journal of Computer Applications in Technology, Vol. 45, Iss. 2-3, 2012-12 ,pp. : 115-125

Inderscience Publishers

Access to resources Recommend Favorite

A memetic algorithm based on a NSGAII scheme for the flexible job-shop scheduling problem

By Frutos Mariano  

Annals of Operations Research, Vol. 181, Iss. 1, 2010-12 ,pp. : 745-765

Springer Publishing Company

Access to resources Recommend Favorite

A multiobjective genetic algorithm for job shop scheduling

By Ponnambalam S. G.   Ramkumar V.   Jawahar N.  

Production Planning and Control, Vol. 12, Iss. 8, 2001-12 ,pp. : 764-774

Taylor & Francis Ltd

Access to resources Recommend Favorite

Phased Method for Solving Multi-Objective MPM Job Shop Scheduling Problem

By  

International Journal of Monitoring and Surveillance Technologies Research (IJMSTR), Vol. 4, Iss. 1, 2016-01 ,pp. : 42-61

IGI Global_journal

Access to resources Recommend Favorite

A new dispatching rule based genetic algorithm for the multi-objective job shop problem

By Vázquez-Rodríguez José  

Journal of Heuristics, Vol. 16, Iss. 6, 2010-12 ,pp. : 771-793

Springer Publishing Company

Access to resources Recommend Favorite