- author = "Christian Jacob",
- title = "Illustrating Evolutionary Computation with Mathematica",
- publisher = "Morgan Kaufmann",
- year = "2001",
- keywords = "genetic algorithms, genetic programming",
- ISBN = "1-55860-637-8",
-
URL = "
http://www.amazon.com/Illustrating-Evolutionary-Computation-Mathematica-Intelligence/dp/1558606378/ref=sr_1_1?ie=UTF8&s=books&qid=1266160160&sr=1-1",
-
DOI = "
doi:10.1016/B978-155860637-1/50020-5",
-
DOI = "doi:10.1016/B978-155860637-1/50021-7",
- notes = "Sciencedirect doi refer to chapters 6 and 8",
-
abstract = "An essential capacity of intelligence is the ability
to learn. An artificially intelligent system that could
learn would not have to be programmed for every
eventuality; it could adapt to its changing environment
and conditions just as biological systems do.
Illustrating Evolutionary Computation with Mathematica
introduces evolutionary computation to the technically
savvy reader who wishes to explore this fascinating and
increasingly important field. Unique among books on
evolutionary computation, the book also explores the
application of evolution to developmental processes in
nature, such as the growth processes in cells and
plants. If you are a newcomer to the evolutionary
computation field, an engineer, a programmer, or even a
biologist wanting to learn how to model the evolution
and coevolution of plants, this book will provide you
with a visually rich and engaging account of this
complex subject. Features:
Introduces the major mechanisms of biological evolution.
Demonstrates many fascinating aspects of evolution in nature with simple, yet illustrative examples. Explains each of the major branches of evolutionary computation: genetic algorithms, genetic programming, evolutionary programming, and evolution strategies. Demonstrates the programming of computers by evolutionary principles using Evolvica, a genetic programming system designed by the author. Shows in detail how to evolve developmental programs modeled by cellular automata and Lindenmayer systems. Provides Mathematica notebooks on the Web that include all the programs in the book and supporting animations, movies, and graphics. Christian Jacob is assistant professor in the Department of Computer Science at the University of Calgary. His areas of interest include evolutionary algorithms, Lindenmayer systems, ecosystems modeling, distributed computing, alternative programming paradigms, biocomputing, and bioinformatics. He is the author of the German edition of this book, Principia Evolvica Simulierte Evolution mit Mathematica \cite{jacob:1997:deutsch}
Part 1: Fascinating Evolution
Part 2: Evolutionary Computation
Part 3: If Darwin was a Programmer
Part 4: Evolution of Developmental Programs",
- notes = "English version of \cite{jacob:1997:deutsch}",
- size = "578 pages",
