LEADER 02665nam 2200469 450 001 9910583383203321 005 20190117033411.0 010 $a0-12-813789-4 010 $a0-12-813788-6 035 $a(CKB)4100000002037908 035 $a(CaSebORM)9780128137895 035 $a(MiAaPQ)EBC5248394 035 $a(PPN)233362827 035 $a(EXLCZ)994100000002037908 100 $a20180221h20182018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aBio-inspired algorithms for engineering /$fAlma Y. Alanis, Nancy Arana-Daniel, Carlos Lopez-Franco 205 $aFirst edition. 210 1$aKidlington, England ;$aCambridge, Massachusetts :$cButterworth-Heinemann,$d2018. 210 4$dİ2018 215 $a1 online resource (137 pages) $cillustrations 320 $aIncludes bibliographical references at the end of each chapters and index. 330 $aBio-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 chapter Includes illustrations, tables and figures that facilitate the reader?s comprehension of the proposed schemes and applications 606 $aComputer algorithms 606 $aNatural computation$xIndustrial applications 615 0$aComputer algorithms. 615 0$aNatural computation$xIndustrial applications. 676 $a005.1 700 $aAlanis$b Alma Y.$0907154 702 $aArana-Daniel$b Nancy 702 $aLopez-Franco$b Carlos 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910583383203321 996 $aBio-inspired algorithms for engineering$92044551 997 $aUNINA