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001 9781003090038
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006 m o d
007 cr |||||||||||
008 210810s2022 flu ob 001 0 eng
040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
020 _a9781003090038
_q(ebk)
020 _a1003090036
020 _z9780367546618
_q(hbk)
020 _z9780367546625
_q(pbk)
020 _a9781000529746
_q(electronic bk. : PDF)
020 _a1000529746
_q(electronic bk. : PDF)
020 _a9781000529753
_q(electronic bk. : EPUB)
020 _a1000529754
_q(electronic bk. : EPUB)
035 _a(OCoLC)1280130565
035 _a(OCoLC-P)1280130565
050 0 0 _aQ337.3
072 7 _aTEC
_x020000
_2bisacsh
072 7 _aCOM
_x004000
_2bisacsh
072 7 _aUYQ
_2bicssc
082 0 0 _a006.3/824
_223/eng/20211021
100 1 _aSharma, Abhishek
_c(Robotics engineer),
_eauthor.
245 1 0 _aSwarm intelligence :
_bfoundation, principles, and engineering applications /
_cAbhishek Sharma, Abhinav Sharma, Jitendra Kumar Pandey, and Mangey Ram.
250 _aFirst edition.
264 1 _aBoca Raton, FL :
_bCRC Press,
_c2022.
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 0 _aMathematical engineering, manufacturing, and management sciences
520 _a"Swarm intelligence is one of the fastest-growing sub-fields of artificial intelligence and soft computing. This field includes multiple optimization algorithms to solve NP-hard problems for which conventional methods are not effective. It inspires researchers in engineering sciences to learn theories from nature and incorporate them. Swarm Intelligence: Foundation, Principles, and Engineering Applications provides a comprehensive review of new swarm intelligence techniques and offers practical implementation of Particle Swarm Optimization (PSO) with MATLAB code. The book discusses the statistical analysis of swarm optimization techniques so that researchers can analyze their experiment design. It also includes algorithms in social sectors, oil and gas industries, and recent research findings of new optimization algorithms in the field of engineering describing the implementation in Machine Learning. This book is written for students of engineering, research scientists, and academicians involved in the engineering sciences"--
_cProvided by publisher.
505 0 _a1. Swarm Intelligence: Review, Perspective and Challenges. 2. Theory to Practice in PSO. 3. Survey on New Swarm Intelligence Algorithms. 4. Engineering Applications of Swarm Intelligence. 5. Swarm Intelligence Applications in Machine Learning.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aSwarm intelligence.
650 7 _aTECHNOLOGY / Manufacturing
_2bisacsh
650 7 _aCOMPUTERS / Artificial Intelligence
_2bisacsh
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003090038
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c5770
_d5770