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008 200625s2020 flu ob 001 0 eng d
040 _aOCoLC-P
_beng
_erda
_epn
_cOCoLC-P
020 _a9780429324413
_q(electronic bk.)
020 _a0429324413
_q(electronic bk.)
020 _z9780367337049
020 _a9781000073430
_q(PDF ebook)
020 _a1000073432
020 _a9781000073454
_q(electronic bk. : Mobipocket)
020 _a1000073459
_q(electronic bk. : Mobipocket)
020 _a9781000073478
_q(electronic bk. : EPUB)
020 _a1000073475
_q(electronic bk. : EPUB)
035 _a(OCoLC)1159900223
_z(OCoLC)1159419594
035 _a(OCoLC-P)1159900223
050 4 _aQA76.9.A43
_bP66 2020eb
072 7 _aCOM
_x000000
_2bisacsh
072 7 _aCOM
_x012040
_2bisacsh
072 7 _aCOM
_x014000
_2bisacsh
072 7 _aUMB
_2bicssc
082 0 4 _a519.6
_223
100 1 _aPonce Cruz, Pedro,
_eauthor.
245 1 2 _aA practical approach to metaheuristics using LabVIEW and MATLAB® /
_cPedro Ponce Cruz, Arturo Molina Gutiérrez, Ricardo A. Ramírez-Mendoza, Efraín Méndez Flores, Alexandro Antonio Ortiz Espinoza, David Christopher Balderas Silva.
250 _aFirst edition.
264 1 _aBoca Raton, FL :
_bCRC Press,
_c2020.
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aChapman & Hall/CRC computer and information science series
520 _aMetaheuristic optimization has become a prime alternative for solving complex optimization problems in several areas. Hence, practitioners and researchers have been paying extensive attention to those metaheuristic algorithms that are mainly based on natural phenomena. However, when those algorithms are implemented, there are not enough books that deal with theoretical and experimental problems in a friendly manner so this book presents a novel structure that includes a complete description of the most important metaheuristic optimization algorithms as well as a new proposal of a new metaheuristic optimization named earthquake optimization. This book also has several practical exercises and a toolbox for MATLAB and a toolkit for LabVIEW are integrated as complementary material for this book. These toolkits allow readers to move from a simulation environment to an experimentation one very fast. This book is suitable for researchers, students, and professionals in several areas, such as economics, architecture, computer science, electrical engineering, and control systems. The unique features of this book are as follows: Developed for researchers, undergraduate and graduate students, and practitioners A friendly description of the main metaheuristic optimization algorithms Theoretical and practical optimization examples A new earthquake optimization algorithm Updated state-of-the-art and research optimization projects The authors are multidisciplinary/interdisciplinary lecturers and researchers who have written a structure-friendly learning methodology to understand each metaheuristic optimization algorithm presented in this book.
588 _aOCLC-licensed vendor bibliographic record.
630 0 0 _aLabVIEW.
630 0 0 _aMATLAB.
650 0 _aMetaheuristics.
650 0 _aMathematical optimization.
650 7 _aCOMPUTERS / General
_2bisacsh
650 7 _aCOMPUTERS / Computer Graphics / Game Programming & Design
_2bisacsh
650 7 _aCOMPUTERS / Computer Science
_2bisacsh
700 1 _aMolina, A.
_q(Arturo),
_eauthor.
700 1 _aRamírez-Mendoza, Ricardo A.,
_eauthor.
700 1 _aMéndez Flores, Efraín,
_eauthor.
700 1 _aOrtiz Espinoza, Alexandro Antonio,
_eauthor.
700 1 _aBalderas Silva, David Christopher,
_eauthor.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780429324413
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c130429
_d130429