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dc.contributor.editorVakhania, Nodari
dc.contributor.editorEmin Aydin, Mehmet
dc.date.accessioned2023-02-15T14:46:39Z
dc.date.available2023-02-15T14:46:39Z
dc.date.issued2022
dc.identifierONIX_20230215_9781839686665_222
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/97183
dc.description.abstractOptimisation is one of the unavoidable key subjects in engineering and other real-world problems, which attracts researchers’ and practitioners’ attention for decades. On the other hand, computational algorithms nowadays play a definitive role in most real-life applications, from mobile phones to supercomputers, Internet servers, manufacturing, etc. An intelligent method for the enumeration of feasible solutions may lead to efficient computational algorithms. Swarm intelligence emerges as a rather new and novel of field computational intelligence that turned into a hot spot in optimization studies last two decades. This book brings together a number of research articles within the intersection of these two prominent subjects, which introduces techniques and approaches in detail and demonstrates how optimisation problems can be solved with heuristic and swarm intelligence approaches. It contains a few contributions on Particle Swarm Optimisation (PSO) area, which is one of renown swarm optimisation approaches that will shed light to issues around optimisation with swarm intelligence to guide junior researchers with implementation details provided.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence
dc.subject.otherComputer science
dc.titleOptimisation Algorithms and Swarm Intelligence
dc.typebook
oapen.identifier.doi10.5772/intechopen.94617
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9781839686665
oapen.relation.isbn9781839686658
oapen.relation.isbn9781839686672
oapen.imprintIntechOpen
oapen.pages142


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