01238nam0 22002651i 450 UON0002707420231205102044.9820020107d1935 |0itac50 baengGB|||| 1||||India through a bishop's diary or memories of an Indian diocese by its first bishopby Eyre ChattertonLondonSociety for the Promoting Christian Knowledge1935 xi207 p.tavole , carte geog. ; 21 cmMISSIONI CATTOLICHEINDIAUONC001009FIINDIASTORIAPERIODO BRITANNICOUONC001213FIGBLondonUONL003044SI IV BSUBCONT. INDIANO - STORIA MODERNA (1526-1947)ACHATTERTONEyreUONV018463643683Society for Promoting Christian KnowledgeUONV257684650ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00027074SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI SI IV B 015 SI SA 6951 5 015 India through a bishop's diary or memories of an Indian diocese by its first bishop1200294UNIOR03453nam 2200673Ia 450 991095529250332120251116202855.00-19-756092-X1-280-76079-697866107607940-19-535670-5(CKB)1000000000404704(EBL)430643(OCoLC)502999871(SSID)ssj0000295885(PQKBManifestationID)11224395(PQKBTitleCode)TC0000295885(PQKBWorkID)10319993(PQKB)11425283(MiAaPQ)EBC430643(StDuBDS)EDZ0002342141(Au-PeEL)EBL430643(CaPaEBR)ebr10351318(CaONFJC)MIL76079(EXLCZ)99100000000040470419950330d1996 uy 0engur|n|---|||||txtccrEvolutionary algorithms in theory and practice evolution strategies, evolutionary programming, genetic algorithms /Thomas Back1st ed.New York Oxford University Press19961 online resource (329 p.)Oxford scholarship onlinePreviously issued in print: 1996.0-19-509971-0 Includes bibliographical references (p. 293-305) and index.Contents; 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 ComparisonC.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; WComparing 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.Oxford scholarship online.Genetic algorithmsEvolution (Biology)Mathematical modelsEvolutionary programming (Computer science)Genetic algorithms.Evolution (Biology)Mathematical models.Evolutionary programming (Computer science)005.1006.3Bäck Thomas1963-351375MiAaPQMiAaPQMiAaPQBOOK9910955292503321Evolutionary algorithms in theory and practice374220UNINA