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dc.contributor.editorGreco, Federico
dc.date.accessioned2021-04-20T14:53:10Z
dc.date.available2021-04-20T14:53:10Z
dc.date.issued2008
dc.identifierONIX_20210420_9789537619107_32
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/64676
dc.description.abstractThe idea behind TSP was conceived by Austrian mathematician Karl Menger in mid 1930s who invited the research community to consider a problem from the everyday life from a mathematical point of view. A traveling salesman has to visit exactly once each one of a list of m cities and then return to the home city. He knows the cost of traveling from any city i to any other city j. Thus, which is the tour of least possible cost the salesman can take? In this book the problem of finding algorithmic technique leading to good/optimal solutions for TSP (or for some other strictly related problems) is considered. TSP is a very attractive problem for the research community because it arises as a natural subproblem in many applications concerning the every day life. Indeed, each application, in which an optimal ordering of a number of items has to be chosen in a way that the total cost of a solution is determined by adding up the costs arising from two successively items, can be modelled as a TSP instance. Thus, studying TSP can never be considered as an abstract research with no real importance.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulationen_US
dc.subject.otherComputer modelling & simulation
dc.titleTraveling Salesman Problem
dc.typebook
oapen.identifier.doi10.5772/66
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9789537619107
oapen.relation.isbn9789535157502
oapen.imprintIntechOpen
oapen.pages212


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