000 02252cam a22003257i 4500
001 20452363
003 BD-DhUL
005 20210310154250.0
008 180413s2018 xxka | 001 0 eng
010 _a 2018941263
020 _a9780128137888 (pbk)
035 _a(OCoLC)ocn994463742
040 _aYDX
_beng
_erda
_cYDX
_dCDN
_dGSU
_dOCLCF
_dDLC
_dBD-DhUL
042 _alccopycat
050 0 0 _aQA76.9.A43
_bA39 2018
082 _a629.892632
_bALB
100 1 _aAlanis, Alma Y.
245 1 0 _aBio-inspired algorithms for engineering /
_cAlma Y. Alanis, Nancy Arana-Daniel, Carlos López-Franco.
264 1 _aOxford :
_bButterworth-Heinemann,
_c2018.
300 _axv, 136 p. :
_bill. ;
_c23 cm.
365 _aUSD
_b130.00
504 _aIncludes bibliographical references and index.
520 _a"Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and their applications in real-life problems, not only in an academic context, but also in the real world. The book proposes novel algorithms to solve real-life, complex problems, combining well-known bio-inspired algorithms with new concepts, including both rigorous analyses and unique applications. It covers both theoretical and practical methodologies, allowing readers to learn more about the implementation of bio-inspired algorithms. This book is a useful resource for both academic and industrial engineers working on artificial intelligence, robotics, machine learning, vision, classification, pattern recognition, identification and control.Presents real-time implementation and simulation results for all the proposed schemes. Offers a comparative analysis and rigorous analysis of the convergence of proposed algorithms.Provides a guide for implementing each application at the end of each chapterIncludes illustrations, tables and figures that facilitate the reader's comprehension of the proposed schemes and applications"--
_cProvided by publisher.
650 0 _aRobots (Algorithms).
650 0 _aNeural computers.
700 1 _aArana-Daniel, Nancy.
_ejt. aut.
700 1 _aLópez-Franco, Carlos.
_ejt. aut.
906 _a7
_bcbc
_ccopycat
_d2
_encip
_f20
_gy-gencatlg
942 _2ddc
_cBK
999 _c253805
_d253805