Hyper-heuristics-Reference-Cited by-同舟云学术

Hyper-heuristics

Published:2013-07-09 Issue: Volume: Page:611-638
ISSN:
Container-title:Search Methodologies
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Author:

Ross Peter

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-1-4614-6940-7_20

Reference59 articles.

1. Allen S, Burke EK, Hyde M, Kendall G (2009) Evolving reusable 3D packing heuristics with genetic programming. In: Rothlauf F (ed) Proceedings of the GECCO 2009, Montreal. ACM, New York, pp 931–938

2. ASAP research group (2012) http://www.asap.cs.nott.ac.uk/

3. Bader-El-Den MB, Poli R (2008) Generating SAT local-search heuristics using a GP framework. In: Monmarche N et al (eds) Artificial Evolution: Proceedings of the 8th International Conference EA 2007, Tours, France. Springer LNCS 4926, 37–49, 2008

4. Bettinger P, Sessions J, Boston K (2009) A review of the status and use of validation procedures for heuristics used in forest planning. Int J Math Comput Forest Nat Resour Sci 1:26–37. http://mcfns.com

5. Biazzini M, Bánhelyi B, Montresor A, Jelasity M (2009) Distributed hyper-heuristics for real parameter optimization. In: Rothlauf F (ed) Proceedings of the GECCO 2009, Montreal. ACM, New York, pp 1339–1346

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1. Performance Analysis of TSP Training Instance Generation Methods in Policy-Based Hyper-Heuristic Optimization Framework;2023 4th International Conference on Big Data Analytics and Practices (IBDAP);2023-08-25

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3. PHH: Policy-Based Hyper-Heuristic With Reinforcement Learning;IEEE Access;2023

4. Assessing hyper-heuristic performance;Journal of the Operational Research Society;2020-08-07

5. Hyper-heuristics;Handbook of Heuristics;2018