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Evolutionary algorithms in theory and practice [electronic resource]

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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.

Title Evolutionary algorithms in theory and practice [electronic resource] : evolution strategies, evolutionary programming, genetic algorithms / Thomas Bäck.
Publisher New York : Oxford University Press
Creation Date 1996
Notes Previously issued in print: 1996.
Includes bibliographical references (p. 293-305) and index.
English
Content 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
Series Oxford scholarship online
Extent 1 online resource (329 p.)
Language English
National Library system number 997010710794305171
MARC RECORDS
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