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dc.contributor.editorDavendra, Donald
dc.contributor.editorBialic-Davendra, Magdalena
dc.date.accessioned2021-04-20T16:25:37Z
dc.date.available2021-04-20T16:25:37Z
dc.date.issued2020
dc.identifierONIX_20210420_9781839624544_3141
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/67781
dc.description.abstractThe Traveling Salesman Problem (TSP) is widely considered one of the most intensively studied problems in computational mathematics and operations research. Since its inception, it has become the poster child for computational complexity research. A number of problems have been transformed to a TSP problem and its application base now extends into scheduling, manufacturing, routing, and logistics. With the advent of high-performance computing and advanced meta-heuristics such as GPU programming and swarm-based algorithms, the TSP problem is positioned firmly as the go-to problem for the development of the next generation of high-performance intelligent heuristics. This book looks to leverage some of these new paradigms for both students and researchers in this field.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PB Mathematics::PBD Discrete mathematicsen_US
dc.subject.otherDiscrete mathematics
dc.titleNovel Trends in the Traveling Salesman Problem
dc.typebook
oapen.identifier.doi10.5772/intechopen.78197
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9781839624544
oapen.relation.isbn9781839624537
oapen.relation.isbn9781839624551
oapen.imprintIntechOpen
oapen.pages100


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