Novel operators for quantum evolutionary algorithm in solving timetabling problem-Reference-Cited by-同舟云学术

Novel operators for quantum evolutionary algorithm in solving timetabling problem

Published:2020-08-13 Issue:4 Volume:14 Page:1869-1893
ISSN:1864-5909
Container-title:Evolutionary Intelligence
language:en
Short-container-title:Evol. Intel.

Author:

Tayarani-N. Mohammad-H.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s12065-020-00438-0.pdf

Reference102 articles.

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3. Abdullah S, Burke EK, McCollum B (2007) Using a randomised iterative improvement algorithm with composite neighbourhood structures for the university course timetabling problem. Springer, Boston, pp 153–169

4. Akkan C, Gülcü A (2018) A bi-criteria hybrid genetic algorithm with robustness objective for the course timetabling problem. Comput Oper Res 90:22–32

5. Al-Yakoob SM, Sherali HD (2015) Mathematical models and algorithms for a high school timetabling problem. Comput Oper Res 61:56–68

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