ACO for continuous function optimization: A performance analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86095765" target="_blank" >RIV/61989100:27240/15:86095765 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/15:86095765
Result on the web
<a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7066253&tag=1" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7066253&tag=1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISDA.2014.7066253" target="_blank" >10.1109/ISDA.2014.7066253</a>
Alternative languages
Result language
angličtina
Original language name
ACO for continuous function optimization: A performance analysis
Original language description
The performance of the meta-heuristic algorithms often depends on their parameter settings. Appropriate tuning of the underlying parameters can drastically improve the performance of a meta-heuristic. The Ant Colony Optimization (ACO), a population basedmeta-heuristic algorithm inspired by the foraging behavior of the ants, is no different. Fundamentally, the ACO depends on the construction of new solutions, variable by variable basis using Gaussian sampling of the selected variables from an archive ofsolutions. A comprehensive performance analysis of the underlying parameters such as: selection strategy, distance measure metric and pheromone evaporation rate of the ACO suggests that the Roulette Wheel Selection strategy enhances the performance of the ACO due to its ability to provide non-uniformity and adequate diversity in the selection of a solution. On the other hand, the Squared Euclidean distance-measure metric offers better performance than other distance-measure metrics. It
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
R - Projekt Ramcoveho programu EK
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Conference on Intelligent Systems Design and Applications, ISDA
ISBN
978-1-4799-7938-7
ISSN
2164-7143
e-ISSN
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Number of pages
6
Pages from-to
145-150
Publisher name
IEEE
Place of publication
Los Alamitos
Event location
Okinawa
Event date
Nov 28, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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