- author = "Daniel Ashlock",
- title = "Evolutionary Computation for Modeling and Optimization",
- publisher = "Springer",
- year = "2006",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-0-387-22196-0",
-
DOI = "
doi:10.1007/0-387-31909-3",
- size = "approx 571 pages",
-
abstract = "Evolutionary Computation for Optimisation and
Modelling is an introduction to evolutionary
computation, a field which includes genetic algorithms,
evolutionary programming, evolution strategies, and
genetic programming. The text is a survey of some
application of evolutionary algorithms. It introduces
mutation, crossover, design issues of selection and
replacement methods, the issue of populations size, and
the question of design of the fitness function. It also
includes a methodological material on efficient
implementation. Some of the other topics in this book
include the design of simple evolutionary algorithms,
applications to several types of optimization,
evolutionary robotics, simple evolutionary neural
computation, and several types of automatic programming
including genetic programming. The book gives
applications to biology and bioinformatics and
introduces a number of tools that can be used in
biological modelling, including evolutionary game
theory. Advanced techniques such as cellular encoding,
grammar based encoding, and graph based evolutionary
algorithms are also covered.
This book presents a large number of homework problems, projects, and experiments, with a goal of illustrating single aspects of evolutionary computation and comparing different methods. Its readership is intended for an undergraduate or first-year graduate course in evolutionary computation for computer science, engineering, or other computational science students. Engineering, computer science, and applied math students will find this book a useful guide to using evolutionary algorithms as a problem solving tool. Written for: Undergraduate and graduate students",
- notes = "GP in Chapter 12 ISAc, Chapter 13 graph based EA, Chapter 14 cellular encoding",
-
size = "572 pages.
2010 available in paper back. ISBN-13: 978-1441919694",
