Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems-Reference-Cited by-同舟云学术

Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems

Published:2015-03 Issue: Volume:298 Page:198-224
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Shen Xiao-Ning,Yao Xin

Funder

Outstanding Young and Middle-Aged University Teachers and Presidents Training Abroad Project

Scientific Research Fund of Nanjing University of Information Science and Technology, China

EPSRC

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference66 articles.

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2. Multi-objective scheduling of dynamic job shop using variable neighborhood search;Adibi;Expert Syst. Appl.,2010

3. Robust and stable flexible job shop scheduling with random machine breakdowns using a hybrid genetic algorithm;Al-Hinai;Int. J. Prod. Econ.,2011

4. A robust scheduling method based on a multi-objective immune algorithm;Balin;Inf. Sci.,2011

5. Dynamic scheduling of manufacturing job shops using genetic algorithm;Chryssolouris;J. Intell. Manuf.,2001

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