Optimization of travel routes based on modified genetic and ant algorithms

dc.citation.journalTitleEcontechmod
dc.citation.volumeVolum 6, number 2
dc.contributor.affiliationLviv Polytechnic National Universityuk_UA
dc.contributor.authorRybchak, Z.
dc.coverage.countryPLuk_UA
dc.coverage.placenameLublin ; Rzeszowuk_UA
dc.date.accessioned2018-02-12T13:14:41Z
dc.date.available2018-02-12T13:14:41Z
dc.date.issued2017
dc.description.abstractIn the article, propose to use modified mating operators and initialization genetic and ant algorithms to solve transport problems in tourism. The article analyzes modern methods of optimization of routes used to transport tourists between the settlements of view of efficient use of resources. By analyzing the behavior of ant colonies, such as finding the shortest route by providing mating pheromones and features two solutions genetic algorithm developed algorithms for finding the optimal route, costing resources search distance, time, route, storing executed routes. The paper present description created system for mobile phones operating system IOS, which performs all operations listed above.uk_UA
dc.format.pages85-90
dc.identifier.citationRybchak Z. Optimization of travel routes based on modified genetic and ant algorithms / Z. Rybchak // Econtechmod : an international quarterly journal on economics in technology, new technologies and modelling processes. – Lublin ; Rzeszow, 2017. – Volum 6, number 2. – P. 85–90. – Bibliography: 20 titles.uk_UA
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/39425
dc.language.isoenuk_UA
dc.publisherCommission of Motorization and Energetics in Agricultureuk_UA
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dc.subjectant algorithmuk_UA
dc.subjectant colony genetic algorithmuk_UA
dc.subjecthiking trailsuk_UA
dc.titleOptimization of travel routes based on modified genetic and ant algorithmsuk_UA
dc.typeArticleuk_UA

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