An intelligent hyper-heuristic framework for CHeSC 2011
Publication
, Conference
Misir, M; Verbeeck, K; De Causmaecker, P; Vanden Berghe, G
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
October 30, 2012
The present study proposes a new selection hyper-heuristic providing several adaptive features to cope with the requirements of managing different heuristic sets. The approach suggested provides an intelligent way of selecting heuristics, determines effective heuristic pairs and adapts the parameters of certain heuristics online. In addition, an adaptive list-based threshold accepting mechanism has been developed. It enables deciding whether to accept or not the solutions generated by the selected heuristics. The resulting approach won the first Cross Domain Heuristic Search Challenge against 19 high-level algorithms. © 2012 Springer-Verlag.
Duke Scholars
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
ISBN
9783642344121
Publication Date
October 30, 2012
Volume
7219 LNCS
Start / End Page
461 / 466
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Misir, M., Verbeeck, K., De Causmaecker, P., & Vanden Berghe, G. (2012). An intelligent hyper-heuristic framework for CHeSC 2011. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7219 LNCS, pp. 461–466). https://doi.org/10.1007/978-3-642-34413-8_45
Misir, M., K. Verbeeck, P. De Causmaecker, and G. Vanden Berghe. “An intelligent hyper-heuristic framework for CHeSC 2011.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7219 LNCS:461–66, 2012. https://doi.org/10.1007/978-3-642-34413-8_45.
Misir M, Verbeeck K, De Causmaecker P, Vanden Berghe G. An intelligent hyper-heuristic framework for CHeSC 2011. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2012. p. 461–6.
Misir, M., et al. “An intelligent hyper-heuristic framework for CHeSC 2011.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7219 LNCS, 2012, pp. 461–66. Scopus, doi:10.1007/978-3-642-34413-8_45.
Misir M, Verbeeck K, De Causmaecker P, Vanden Berghe G. An intelligent hyper-heuristic framework for CHeSC 2011. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2012. p. 461–466.
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
ISBN
9783642344121
Publication Date
October 30, 2012
Volume
7219 LNCS
Start / End Page
461 / 466
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences