An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling-Reference-Cited by-同舟云学术

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An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling

Published:2018-02 Issue: Volume:63 Page:72-86
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Park John,Mei Yi,Nguyen Su,Chen Gang,Zhang Mengjie

Publisher

Elsevier BV

Subject

Software

Reference45 articles.

1. Fifty years of scheduling: a survey of milestones;Potts;J. Oper. Res. Soc.,2009

2. Job-shop scheduling theory: what is relevant?;McKay;Interfaces,1988

3. Scheduling: Theory, Algorithms, and Systems;Pinedo,2012

4. A survey of dynamic scheduling in manufacturing systems;Ouelhadj;J. Schedul.,2009

5. Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach;Hildebrandt,2010

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