MARC Record from marc_columbia

LEADER: 04684cam a2200745 i 4500
001 15528951
005 20220326234917.0
006 m o d
007 cr |||||||||||
008 210616s2021 flu ob 001 0 eng
010 $a 2021693136
035 $a(OCoLC)on1256709091
035 $a(NNC)15528951
040 $aDLC$beng$erda$epn$cDLC$dN$T$dYDX$dTYFRS$dSOE$dOCLCO
019 $a1242026982
020 $a9781000349801$qebook
020 $a1000349802
020 $z9780367263133$q(hardcover)
020 $a9781000349740$q(electronic bk.)
020 $a1000349748$q(electronic bk.)
020 $a9780429298028$q(electronic bk.)
020 $a0429298021$q(electronic bk.)
020 $a9781000349771$q(electronic bk. : Mobipocket)
020 $a1000349772$q(electronic bk. : Mobipocket)
020 $z0367263130
035 $a(OCoLC)1256709091$z(OCoLC)1242026982
037 $a9780429298028$bTaylor & Francis
050 00 $aQA76.618
072 7 $aCOM$x051010$2bisacsh
072 7 $aMAT$x004000$2bisacsh
072 7 $aCOM$x051360$2bisacsh
072 7 $aUB$2bicssc
082 00 $a006.3/823$223
049 $aZCUA
100 1 $aScardua, Leonardo Azevedo,$d1966-$eauthor.
245 10 $aApplied evolutionary algorithms for engineers with Python /$cLeonardo Azevedo Scardua, Federal Institute of Technology of Espírito Santo, Vitoria, Brazil.
250 $aFirst edition.
264 1 $aBoca Raton :$bCRC Press, Taylor and Francis Group,$c2021.
300 $a1 online resource (vii, 245 pages)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
504 $aIncludes bibliographical references (pages 233-240) and index.
520 $a"This book was written for students, scientists and engineers who need to apply evolutionary algorithms to practical optimization problems. The presentation of the theoretical background is complemented with didactical Python implementations of evolutionary algorithms that researchers have recently applied to complex optimization problems. Cases of successful application of evolutionary algorithms to real-world like optimization problems are presented, together with source code that allows the reader to gain insight into the idiosyncrasies of of the practical application of evolutionary algorithms"--$cProvided by publisher.
588 $aDescription based on print version record and CIP data provided by publisher; resource not viewed.
505 8 $a8. Non-Dominated Sorted Genetic Algorithm II -- 9. Multiobjective Evolutionary Algorithm Based on Decomposition -- Section IV: Applying Evolutionary Algorithms -- 10. Solving Optimization Problems with Evolutionary Algorithms -- 10.1 Benchmark Problems -- 10.1.1 Single-Objective -- 10.1.2 Multi-Objective -- 10.1.3 Noisy -- 10.2 Dealing with Constraints -- 10.3 Dealing with Costly Objective Functions -- 10.4 Dealing with Noise -- 10.5 Evolutionary Multi-Objective Optimization -- 10.6 Some Auxiliary Functions -- 11. Assessing the Performance of Evolutionary Algorithms -- 11.1 A Cautionary Note -- 11.2 Performance Metric -- 11.3 Confidence Intervals -- 11.4 Assessing the Performance of Single-Objective Evolutionary Algorithms -- 11.5 Assessing the Performance of Multi-Objective Evolutionary Algorithms -- 11.6 Benchmark Functions -- 12. Case Study: Optimal Design of a Gear Train System -- 13. Case Study: Teaching a Legged Robot How to Walk -- References -- Index.
650 0 $aEvolutionary programming (Computer science)
650 0 $aEvolutionary computation.
650 0 $aGenetic algorithms.
650 0 $aPython (Computer program language)
650 6 $aProgrammation évolutive.
650 6 $aRéseaux neuronaux à structure évolutive.
650 6 $aAlgorithmes génétiques.
650 6 $aPython (Langage de programmation)
650 7 $aCOMPUTERS / Programming Languages / General$2bisacsh
650 7 $aMATHEMATICS / Arithmetic$2bisacsh
650 7 $aCOMPUTERS / Programming Languages / Python$2bisacsh
650 7 $aEvolutionary computation.$2fast$0(OCoLC)fst00917338
650 7 $aEvolutionary programming (Computer science)$2fast$0(OCoLC)fst00917347
650 7 $aGenetic algorithms.$2fast$0(OCoLC)fst00939996
650 7 $aPython (Computer program language)$2fast$0(OCoLC)fst01084736
655 4 $aElectronic books.
776 08 $iPrint version:$tApplied evolutionary algorithms for engineers with Python$dBoca Raton : CRC Press, Taylor & Francis Group, 2021.$z9780367263133$w(DLC) 2020038788
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15528951$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS