Adaptive Ant Colony Optimization with node clustering applied to the Travelling Salesman Problem

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F23%3A00557902" target="_blank" >RIV/60162694:G42__/23:00557902 - isvavai.cz</a>
Alternative codes found
RIV/61989592:15510/22:73613034
Result on the web
<a href="http://www.elsevier.com/wps/find/journaldescription.cws_home/724666/description#description" target="_blank" >http://www.elsevier.com/wps/find/journaldescription.cws_home/724666/description#description</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.swevo.2022.101056" target="_blank" >10.1016/j.swevo.2022.101056</a>

Result language
angličtina
Original language name
Adaptive Ant Colony Optimization with node clustering applied to the Travelling Salesman Problem
Original language description
This article presents the Ant Colony Optimization algorithm to solve the Travelling Salesman Problem. The proposed algorithm implements three novel techniques to enhance the overall performance, lower the execution time and reduce the negative effects particularly connected with ACO-based methods such as falling into a local optimum and issues with settings of control parameters for different instances. These techniques include (a) the node clustering concept where transition nodes are organised in a set of clusters, (b) adaptive pheromone evaporation controlled dynamically based on the information entropy and (c) the formulation of the new termination condition based on the diversity of solutions in population. To verify the effectiveness of the proposed principles, a number of experiments were conducted using 30 benchmark instances (ranging from 51 to 2,392 nodes with various nodes topologies) taken from the well-known TSPLIB benchmarks and the results are compared with several state-of-the-art ACO-based methods; the proposed algorithm outperforms these rival methods in most cases. The impact of the novel techniques on the behaviour of the algorithm is thoroughly analysed and discussed in respect to the overall performance, execution time and convergence.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
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)

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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