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020 _a9781839686665
020 _a9781839686658
020 _a9781839686672
040 _aoapen
_coapen
041 0 _aeng
072 7 _aUYQ
_2bicssc
080 _a004.8
100 1 _aVakhania, Nodari
_4edt
245 1 0 _aOptimisation Algorithms and Swarm Intelligence
260 _bIntechOpen
_c2022
300 _a1 electronic resource (142 p.)
506 0 _aOpen Access
_2star
_fUnrestricted online access
520 _aOptimisation 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.
540 _aCreative Commons
_fhttps://creativecommons.org/licenses/by/3.0/
_2cc
546 _aEnglish
650 0 _aИскусственный интеллект
_94518
653 _aComputer science
700 1 _aEmin Aydin, Mehmet
_4edt
700 1 _aVakhania, Nodari
_4oth
700 1 _aEmin Aydin, Mehmet
_4oth
856 4 0 _awww.oapen.org
_uhttps://mts.intechopen.com/storage/books/10653/authors_book/authors_book.pdf
_70
_zDownload
856 4 0 _awww.oapen.org
_uhttps://directory.doabooks.org/handle/20.500.12854/97183
_70
_zDescription
909 _c4
_dDarya Shvetsova
942 _2udc
_cEE
999 _c6359
_d6359