book

Illustrating Evolutionary Computation with Mathematica

by Christian Jacob

February 2001

Intermediate to advanced

578 pages

14h 43m

English

Morgan Kaufmann

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1.1 Flavors of evolution1.2 Adaptation and selection1.3 Drip by drip—cumulative selection1.4 Simulated mimesis of butterflies1.5 Evolutionary creativity—biomorphs1.6 Bibliographical notes
2.1 A simplified formal model of evolution2.2 Optimization through adaptive structures2.3 A general evolutionary algorithm scheme2.4 Bibliographical notes

3.1 Polyploid GA chromosomes3.2 Point mutation on GA chromosomes3.3 GA recombination
4.1 Representation of individuals4.2 Mutation4.3 Recombination4.4 Selection and reproduction schemes4.5 Meta-evolution strategies and the island model4.6 Evolution strategies with Evolvica4.7 Evolution strategies at work4.8 Bibliographical notes
5.1 Evolving versus programming5.2 Evolution and programming: a survey5.3 Bibliographical notesColor Plates
6.1 Computer programs as finite state machines6.2 Mutation operators on FSA6.3 Automatic generation of finite state machines6.4 EP selection and evolution scheme6.5 Evolutionary programming with Evolvica6.6 Evolutionary programming at work6.7 Diversification of evolutionary programming6.8 Bibliographical notes
7.1 Symbolic expressions as genotypical program structures7.2 GP recombination of program structures7.3 GP mutation of program structures7.4 GP evolution scheme7.5 Genetic programming in action7.6 Bibliographical notes
8.1 Breeding of computer programs: the AntTracKer example8.2 Analysis of an evolution experiment8.3 Adaptive operator weights8.4 Advanced GP operators and functionality8.5 Bibliographical notes
9.1 Cellular automata and cellular programming9.2 Lindenmayer systems9.3 Bibliographical notes
10.1 Encoding of IL-systems10.2 Evolution of fractal structures10.3 Bibliographical notes
11.1 The ArtFlower garden11.2 Breeding artificial flowers11.3 The ArtFlower garden in full bloom11.4 Extensions for more realistic plant modeling11.5 Evolution of plant ecosystems11.6 Bibliographical notes

Content preview from Illustrating Evolutionary Computation with Mathematica

Part II: Introduction to If Darwin Had Been a Programmer…

Chapter 5

Programming by Evolution 283

Chapter 6

Evolutionary Programming 297

Chapter 7

Genetic Programming 345

Chapter 8

Advanced Genetic Programming at Work 399

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ISBN: 9781558606371