dc.contributor.author |
Grobler, J
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|
dc.contributor.author |
Engelbrecht, AP
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|
dc.contributor.author |
Kendall, G
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|
dc.contributor.author |
Yadavalli, VSS
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dc.date.accessioned |
2015-10-30T09:46:29Z |
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dc.date.available |
2015-10-30T09:46:29Z |
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dc.date.issued |
2014-07 |
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dc.identifier.citation |
Grobler, J, Engelbrecht, AP, Kendall, G and Yadavalli, VSS. 2014. Heuristic space diversity management in a meta-hyper-heuristic framework. In: 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing, China, 6-11 July 2014, 7pp. |
en_US |
dc.identifier.uri |
http://hdl.handle.net/10204/8222
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|
dc.description |
Copyright: IEEE. 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing, China, 6-11 July 2014. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
en_US |
dc.description.abstract |
This paper introduces the concept of heuristic space diversity and investigates various strategies for the management of heuristic space diversity within the context of a meta-hyper-heuristic algorithm. Evaluation on a diverse set of floating-point benchmark problems show that heuristic space diversity has a significant impact on hyper-heuristic performance. The increasing heuristic space diversity strategies performed the best out of all strategies tested. Good performance was also demonstrated with respect to another popular multi-method algorithm and the best performing constituent algorithm. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.relation.ispartofseries |
Worklist;13999 |
|
dc.subject |
Heuristic space diversity |
en_US |
dc.subject |
Multi-method algorithms |
en_US |
dc.subject |
Solution space diversity |
en_US |
dc.subject |
SSD |
en_US |
dc.subject |
Computation |
en_US |
dc.title |
Heuristic space diversity management in a meta-hyper-heuristic framework |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Grobler, J., Engelbrecht, A., Kendall, G., & Yadavalli, V. (2014). Heuristic space diversity management in a meta-hyper-heuristic framework. IEEE. http://hdl.handle.net/10204/8222 |
en_ZA |
dc.identifier.chicagocitation |
Grobler, J, AP Engelbrecht, G Kendall, and VSS Yadavalli. "Heuristic space diversity management in a meta-hyper-heuristic framework." (2014): http://hdl.handle.net/10204/8222 |
en_ZA |
dc.identifier.vancouvercitation |
Grobler J, Engelbrecht A, Kendall G, Yadavalli V, Heuristic space diversity management in a meta-hyper-heuristic framework; IEEE; 2014. http://hdl.handle.net/10204/8222 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Grobler, J
AU - Engelbrecht, AP
AU - Kendall, G
AU - Yadavalli, VSS
AB - This paper introduces the concept of heuristic space diversity and investigates various strategies for the management of heuristic space diversity within the context of a meta-hyper-heuristic algorithm. Evaluation on a diverse set of floating-point benchmark problems show that heuristic space diversity has a significant impact on hyper-heuristic performance. The increasing heuristic space diversity strategies performed the best out of all strategies tested. Good performance was also demonstrated with respect to another popular multi-method algorithm and the best performing constituent algorithm.
DA - 2014-07
DB - ResearchSpace
DP - CSIR
KW - Heuristic space diversity
KW - Multi-method algorithms
KW - Solution space diversity
KW - SSD
KW - Computation
LK - https://researchspace.csir.co.za
PY - 2014
T1 - Heuristic space diversity management in a meta-hyper-heuristic framework
TI - Heuristic space diversity management in a meta-hyper-heuristic framework
UR - http://hdl.handle.net/10204/8222
ER -
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en_ZA |