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100   $a19950330d1996      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
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183   $acr
200 10$aEvolutionary algorithms in theory and practice$b[electronic resource] $eevolution strategies, evolutionary programming, genetic algorithms /$fThomas Ba?ck
210   $aNew York $cOxford University Press$d1996
215   $a1 online resource (329 p.)
225 1 $aOxford scholarship online
300   $aPreviously issued in print: 1996.
311   $a0-19-509971-0 
320   $aIncludes bibliographical references (p. 293-305) and index.
327   $aContents; Introduction; I: A COMPARISON OF EVOLUTIONARY ALGORITHMS; 1 Organic Evolution and Problem Solving; 1.1 Biological Background; 1.2 Evolutionary Algorithms and Artificial Intelligence; 1.3 Evolutionary Algorithms and Global Optimization; 1.4 Early Approaches; 1.5 Summary; 2 Specific Evolutionary Algorithms; 2.1 Evolution Strategies; 2.2 Evolutionary Programming; 2.3 Genetic Algorithms; 2.4 Summary; 3 Artificial Landscapes; 3.1 Sphere Model; 3.2 Step Function; 3.3 Ackley's Function; 3.4 Function after Fletcher and Powell; 3.5 Fractal Function; 3.6 Summary; 4 An Empirical Comparison
327   $aC.2 UsageC.3 Data Collection; D: The Multiprocessor Environment; D.1 The Transputer System; D.2 The Helios Operating System; E: Mathematical Symbols; Bibliography; Index; A; B; C; D; E; F; G; H; I; K; L; M; N; O; P; Q; R; S; T; U; V; W
330 8 $aComparing the three most prominent representatives of evolutionary algorithms - genetic algorithms, evolution strategies and evolutionary programming - this book examines the computational methods at the border between computer science and evolutionary biology. The algorithms are explained within a common framework, thereby clarifying the similarities and differences of these methods. The author also presents new results regarding the role of mutation and selection in genetic algorithms and uses a meta-evolutionary approach to confirm some of the theoretical results.
410  0$aOxford scholarship online.
606   $aGenetic algorithms
606   $aEvolution (Biology)$xMathematical models
606   $aEvolutionary programming (Computer science)
615  0$aGenetic algorithms.
615  0$aEvolution (Biology)$xMathematical models.
615  0$aEvolutionary programming (Computer science)
676   $a005.1
676   $a006.3
700   $aBa?ck$b Thomas$f1963-$0351375
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910784848703321
996   $aEvolutionary algorithms in theory and practice$9374220
997   $aUNINA