Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/131163
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dc.contributor.authorDonald Davendra
dc.date.accessioned2017-04-30T13:31:41Z-
dc.date.available2017-04-30T13:31:41Z-
dc.date.issued2010
dc.identifier.isbn978-953-307-426-9
dc.identifier.urihttp://hdl.handle.net/123456789/131163-
dc.description.abstractThis book is a collection of current research in the application of evolutionary algorithms and other optimal algorithms to solving the TSP problem. It brings together researchers with applications in Artificial Immune Systems, Genetic Algorithms, Neural Networks and Differential Evolution Algorithm. Hybrid systems, like Fuzzy Maps, Chaotic Maps and Parallelized TSP are also presented. Most importantly, this book presents both theoretical as well as practical applications of TSP, which will be a vital tool for researchers and graduate entry students in the field of applied Mathematics, Computing Science and Engineering.
dc.language.isoeng
dc.publisherInTech
dc.relation.isbasedon10.5772/547
dc.relation.urihttp://www.intechopen.com/books/traveling-salesman-problem-theory-and-applications
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, Theory and Applications
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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