Ant Supervised by PSO and 2-Opt algorithm, AS-PSO-2Opt, Applied to Traveling Salesman Problem
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A10238699" target="_blank" >RIV/61989100:27240/16:10238699 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/7844999/" target="_blank" >http://ieeexplore.ieee.org/document/7844999/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SMC.2016.7844999" target="_blank" >10.1109/SMC.2016.7844999</a>
Alternative languages
Result language
angličtina
Original language name
Ant Supervised by PSO and 2-Opt algorithm, AS-PSO-2Opt, Applied to Traveling Salesman Problem
Original language description
AS-PSO-2Opt is a new enhancement of the AS-PSO method. In the classical AS-PSO, the Ant heuristic is used to optimize the tour length of a Traveling Salesman Problem, TSP, and PSO is applied to optimize three parameters of ACO, (alpha,beta,rho). The AS-PSO-2Opt consider a post processing resuming path redundancy, helping to improve local solutions and to decrease the probability of falling in local minimum. Applied to TSP, the method allowed retrieving a valuable path solution and a set of fitted parameters for ACO. The performance of the AS-PSO-2Opt is tested on nine different TSP test benches. Experimental results based on a statistical analysis showed that the new proposal performs better than key state of art methods using Genetic algorithm, Neural Network and ACO algorithm. The AS-PSO-2Opt performs better than close related methods such as PSO-ACO-3Opt [9] and ACO with ABC [19] for various test benches.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
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
2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
ISBN
978-1-5090-1897-0
ISSN
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e-ISSN
neuvedeno
Number of pages
6
Pages from-to
4866-4871
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
New York
Event location
Budapešť
Event date
Oct 9, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000402634704111