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001 9781003205326
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040 _aOCoLC-P
_beng
_erda
_epn
_cOCoLC-P
020 _a9781003205326
_q(electronic bk.)
020 _a1003205321
_q(electronic bk.)
020 _a9781000655605
_q(electronic bk. : PDF)
020 _a1000655601
_q(electronic bk. : PDF)
020 _z9781032070926
020 _a9781000655674
_q(electronic bk. : EPUB)
020 _a1000655679
_q(electronic bk. : EPUB)
020 _z9781032070919
024 7 _a10.1201/9781003205326
_2doi
035 _a(OCoLC)1338038938
035 _a(OCoLC-P)1338038938
050 4 _aQA76.9.A43
072 7 _aCOM
_x051300
_2bisacsh
072 7 _aCOM
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_2bisacsh
072 7 _aCOM
_x000000
_2bisacsh
072 7 _aUMB
_2bicssc
082 0 4 _a005.1
_223/eng/20220804
245 0 0 _aHandbook of moth-flame optimization algorithm :
_bvariants, hybrids, improvements, and applications /
_cedited by Seyedali Mirjalili.
250 _aFirst edition.
264 1 _aBoca Raton :
_bCRC Press,
_c2023.
300 _a1 online resource (xiv, 332 pages).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aAdvances in metaheuristics
520 _aMoth-Flame Optimization algorithm is an emerging meta-heuristic and has been widely used in both science and industry. Solving optimization problem using this algorithm requires addressing a number of challenges, including multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, and noisy parameters. Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications provides an in-depth analysis of this algorithm and the existing methods in the literature to cope with such challenges. Key Features: Reviews the literature of the Moth-Flame Optimization algorithm Provides an in-depth analysis of equations, mathematical models, and mechanisms of the Moth-Flame Optimization algorithm Proposes different variants of the Moth-Flame Optimization algorithm to solve binary, multi-objective, noisy, dynamic, and combinatorial optimization problems Demonstrates how to design, develop, and test different hybrids of Moth-Flame Optimization algorithm Introduces several applications areas of the Moth-Flame Optimization algorithm This handbook will interest researchers in evolutionary computation and meta-heuristics and those who are interested in applying Moth-Flame Optimization algorithm and swarm intelligence methods overall to different application areas.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aMetaheuristics.
650 7 _aCOMPUTERS / Programming / Algorithms
_2bisacsh
650 7 _aCOMPUTERS / Computer Engineering
_2bisacsh
650 7 _aCOMPUTERS / General
_2bisacsh
700 1 _aMirjalili, Seyedali,
_eeditor.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003205326
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c6056
_d6056