Please use this identifier to cite or link to this item: https://utcc-dspacecris.eval.plus/handle/6626976254/889
Title: Traveling Salesman Problem with Traffic Conditions
Authors: Patvichaichod, Supat 
Visuwan, Poranat 
Issue Date: 2007
Publisher: University of the Thai Chamber of Commerce
Source: Supat Patvichaichod, Poranat Visuwan (2007) Traveling Salesman Problem with Traffic Conditions.
Conference: Proceedings of the 2nd International Conference on Operations and Supply Chain Management 
Abstract: Traveling salesman problem (TSP) is a well known NPCompleteproblem. The objective of the problem is to findroute of the vehicle to service all the customers at aminimal cost (in term of travel distance, travel cost, etc.).Almost all TSP problems used distance between eachpoint of customer as Euclidean Distance and are notconcerned with other parameters to find minimal cost.This paper presents the new TSP that is called “TravelingSalesman Problem with Traffic conditions (TSPTC)”. Thealgorithm has been designed to employ more parameters,which results it closer to the real world condition. Thepaper also proposes the developed genetic algorithm,called “Hybrid Encoding Genetic Algorithm (HEGA)”.The concept is to combine binary encoding and integerencoding together. The successful results of HEGA ofTSPTC are shown in the paper.
URI: https://scholar.utcc.ac.th/handle/6626976254/889
Rights: This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
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