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001 9781003206477
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006 m o d
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008 210824s2021 xx o 0|| 0 eng d
040 _aOCoLC-P
_beng
_cOCoLC-P
020 _a9781000462142
_q(electronic bk.)
020 _a1000462145
_q(electronic bk.)
020 _a9781003206477
_q(electronic bk.)
020 _a1003206476
_q(electronic bk.)
020 _a9781000462166
_q(electronic bk. : EPUB)
020 _a1000462161
_q(electronic bk. : EPUB)
020 _z0367750546
020 _z9780367750541
024 7 _a10.1201/9781003206477
_2doi
035 _a(OCoLC)1264717341
035 _a(OCoLC-P)1264717341
050 4 _aQA402.5
072 7 _aTEC
_x009070
_2bisacsh
072 7 _aTEC
_x009000
_2bisacsh
072 7 _aTHR
_2bicssc
072 7 _aMAT
_x003000
_2bisacsh
072 7 _aMAT
_x029000
_2bisacsh
082 0 4 _a006.3823
_223
100 1 _aBadar, Altaf Q. H.
245 1 0 _aEVOLUTIONARY OPTIMIZATION ALGORITHMS
_h[electronic resource].
260 _a[S.l.] :
_bCRC PRESS,
_c2021.
300 _a1 online resource
336 _atext
_2rdacontent
336 _astill image
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
520 _aThis comprehensive reference text discusses evolutionary optimization techniques, to find optimal solutions for single and multi-objective problems. The text presents each evolutionary optimization algorithm along with its history and other working equations. It also discusses variants and hybrids of optimization techniques. The text presents step-by-step solution to a problem and includes software's like MATLAB and Python for solving optimization problems. It covers important optimization algorithms including single objective optimization, multi objective optimization, Heuristic optimization techniques, shuffled frog leaping algorithm, bacteria foraging algorithm and firefly algorithm. Aimed at senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, mechanical engineering, and computer science and engineering, this text: Provides step-by-step solution for each evolutionary optimization algorithm. Provides flowcharts and graphics for better understanding of optimization techniques. Discusses popular optimization techniques include particle swarm optimization and genetic algorithm. Presents every optimization technique along with the history and working equations. Includes latest software like Python and MATLAB.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aGenetic algorithms.
650 0 _aArtificial intelligence.
650 7 _aTECHNOLOGY / Engineering / Mechanical
_2bisacsh
650 7 _aTECHNOLOGY / Engineering / General
_2bisacsh
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003206477
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c6060
_d6060