Fitness landscape analysis of hyper-heuristic transforms for the vertex cover problem
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10333621" target="_blank" >RIV/00216208:11320/16:10333621 - isvavai.cz</a>
Result on the web
<a href="http://ceur-ws.org/Vol-1649/179.pdf" target="_blank" >http://ceur-ws.org/Vol-1649/179.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Fitness landscape analysis of hyper-heuristic transforms for the vertex cover problem
Original language description
Hyper-heuristics have recently proved efficient in several areas of combinatorial search and optimiza- tion, especially scheduling. The basic idea of hyper- heuristics is based on searching for search-strategy. In- stead of traversing the solution-space, the hyper-heuristic traverses the space of algorithms to find or construct an algorithm best suited for the given problem instance. The observed efficiency of hyper-heuristics is not yet fully ex- plained on the theoretical level. The leading hypothesis suggests that the fitness landscape of the algorithm-space is more favorable to local search techniques than the orig- inal space. In this paper, we analyse properties of fitness landscapes of the problem of minimal vertex cover. We focus on prop- erties that are related to efficiency of metaheuristics such as locality and fitness-distance correlation. We compare properties of the original space and the algorithm space trying to verify the hypothesis explaining hyper-heuristics performance. Our analysis shows that the hyper-heuristic- space really has some more favorable properties than the original space.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 16th ITAT Conference Information Technologies - Applications and Theory
ISBN
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ISSN
1613-0073
e-ISSN
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Number of pages
8
Pages from-to
179-186
Publisher name
CEUR-WS
Place of publication
Neuveden
Event location
Tatranské Matliare, Slovakia
Event date
Sep 15, 2016
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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