AN EFFECTIVE METAHEURISTIC FOR TOURIST TRIP PLANNING IN PUBLIC TRANSPORT NETWORKS
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Issue Vol. 14 No. 2 (2018)
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AN EFFECTIVE METAHEURISTIC FOR TOURIST TRIP PLANNING IN PUBLIC TRANSPORT NETWORKS
Krzysztof OSTROWSKI5-19
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GRAPHICAL REPRESENTATIONS OF MULTITHREADED APPLICATIONS
Damian GIEBAS, Rafał WOJSZCZYK20-37
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INTERMITTENT DEMAND FORECASTING USING DATA MINING TECHNIQUES
Gamze Ogcu KAYA, Ali TURKYILMAZ38-47
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NEURAL CONTROLLER FOR THE SELECTION OF RECYCLED COMPONENTS IN POLYMER-GYPSY MORTARS
Grzegorz KŁOSOWSKI, Tomasz KLEPKA, Agnieszka NOWACKA48-59
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POSSIBILITIES OF RENOVATION FUNCTIONAL SURFACES OF EQUIPMENTS IN THE MECHANICAL ENGINEERING INDUSTRY
Janette BREZINOVÁ, Ján VIŇÁŠ, Dagmar DRAGANOVSKÁ, Anna GUZANOVÁ, Jakub BREZINA60-68
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THE INFLUENCE OF THE INJECTION TIMING ON THE PERFORMANCE OF TWO-STROKE OPPOSED-PISTON DIESEL ENGINE
Paweł KARPIŃSKI69-81
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HIGH SPEED MILLING IN THIN-WALLED AIRCRAFT STRUCTURES
Paweł BAŁON, Edward REJMAN, Robert SMUSZ, Janusz SZOSTAK, Bartłomiej KIEŁBASA82-95
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IDENTIFICATION OF THE MASS INERTIA MOMENT IN AN ELECTROMECHANICAL SYSTEM BASED ON WAVELET–NEURAL METHOD
Marcin TOMCZYK, Barbara BOROWIK, Bohdan BOROWIK96-111
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Abstract
The Time-Dependent Orienteering Problem with Time Windows (TDOPTW) is a combinatorial optimization problem defined on graphs. Its real life applications are particularly associated with tourist trip planning in trans-port networks, where travel time between two points depends on the moment of travel start. In the paper an effective TDOPTW solution (evolutionary algorithm with local search operators) was presented and applied to gen-erate attractive tours in real public transport networks of Białystok and Athens. The method achieved very high-quality solutions in a short execution time.
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References
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