Evolutionary Computation 1: Basic Algorithms and Operators

ISBN-13: 9780750306645 / Angielski / Miękka / 2000 / 378 str.

Thomas Baeck; David B. Fogel

Opis

Offers information on algorithms and operators used in evolutionary computing. This book discusses the basic ideas that underlie the main paradigms of evolutionary algorithms, evolution strategies, evolutionary programming, and genetic programming. It is suitable for individual researchers, teachers, and students in the field.

Recenzje

"This new volume contains some extended material and provides basic information on evolutionary algorithms … This book provides an interesting reference for theorists, teachers, and practitioners also."
-H.D. Hecker, Zentralblatt Math

Spis treści

WHY EVOLUTIONARY COMPUTATION?
Introduction to evolutionary computation
Possible applications of evolutionary computation
Advantages (and disadvantages) of evolutionary computation over other approaches

EVOLUTIONARY COMPUTATION: THE BACKGROUND
Principles of evolutionary processes
Principles of genetics
A history of evolutionary computation

EVOLUTIONARY ALGORITHMS AND THEIR STANDARD INSTANCES
Introduction to evolutionary algorithms
Genetic algorithms
Evolution strategies
Evolutionary programming
Derivative methods in genetic programming
Learning classifier systems
Hybrid methods

REPRESENTATIONS
Introduction to representations
Binary strings
Real-valued vectors
Permutations
Finite-state representations
Parse trees
Guidelines for a suitable encoding
Other representations

SELECTION
Introduction to selection
Proportionary selection and sampling algorithms
Tournament selection
Rank-based selection
Boltzmann selection
Other selection methods
Generation gap methods
A comparison of selection mechanisms
Interactive evolution

SEARCH OPERATORS
Introduction to search operators
Mutation operators
Recombination
Other operators

INDEX

O autorze

Thomas Baeck, D.B Fogel, Z Michalewicz