Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/131162
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dc.contributor.authorFederico Greco
dc.date.accessioned2017-04-30T13:31:41Z-
dc.date.available2017-04-30T13:31:41Z-
dc.date.issued2008
dc.identifier.isbn978-953-7619-10-7
dc.identifier.urihttp://hdl.handle.net/123456789/131162-
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.language.isoeng
dc.publisherInTech
dc.relation.isbasedon10.5772/56696
dc.relation.urihttp://www.intechopen.com/books/traveling_salesman_problem
dc.rights.uriCC BY-NC-SA (姓名標示-非商業性-相同方式分享)
dc.sourceInTech
dc.subject.classificationComputer and Information Science
dc.subject.classification Numerical Analysis and Scientific Computing
dc.titleTraveling Salesman Problem
dc.type電子教課書
dc.classification自然科學類
Theme:教科書-自然科學類

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