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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Donald Davendra | |
dc.date.accessioned | 2017-04-30T13:31:41Z | - |
dc.date.available | 2017-04-30T13:31:41Z | - |
dc.date.issued | 2010 | |
dc.identifier.isbn | 978-953-307-426-9 | |
dc.identifier.uri | http://hdl.handle.net/123456789/131163 | - |
dc.description.abstract | This 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.iso | eng | |
dc.publisher | InTech | |
dc.relation.isbasedon | 10.5772/547 | |
dc.relation.uri | http://www.intechopen.com/books/traveling-salesman-problem-theory-and-applications | |
dc.rights.uri | CC BY-NC-SA (姓名標示-非商業性-相同方式分享) | |
dc.source | InTech | |
dc.subject.classification | Computer and Information Science | |
dc.subject.classification | Numerical Analysis and Scientific Computing | |
dc.title | Traveling 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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