Evolutionary algorithms in theory and practice [[electronic resource] ] : evolution strategies, evolutionary programming, genetic algorithms / / Thomas Bäck

• Autore: Bäck Thomas <1963->
• Pubblicazione: New York, : Oxford University Press, 1996
• Descrizione fisica: 1 online resource (329 p.)
• Disciplina: 005.1; 006.3
• Soggetto topico: Genetic algorithms; Evolution (Biology) - Mathematical models; Evolutionary programming (Computer science)
• Note generali: Previously issued in print: 1996.
• Nota di bibliografia: Includes bibliographical references (p. 293-305) and index.
• Nota di contenuto: 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 Comparison ; C.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
• Sommario/riassunto: Comparing 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.
• Titolo autorizzato: Evolutionary algorithms in theory and practice
• ISBN: 0-19-756092-X; 1-280-76079-6; 9786610760794; 0-19-535670-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910784848703321
• Lo trovi qui: Univ. Federico II
• Serie: Oxford scholarship online.