Illustrating evolutionary computation with Mathematica 1st Edition by Christian Jacob ISBN 9781558606371 1558606378

Chapter 1: Introduction: The Fascination of Evolution

1.1 Flavors of evolution

1.2 Adaptation and selection

1.3 Drip by drip—cumulative selection

1.4 Simulated mimesis of butterflies

1.5 Evolutionary creativity—biomorphs

1.6 Bibliographical notes

Part I: Evolutionary Computation

Part I: Introduction to Evolutionary Computation

Chapter 2: Evolutionary Algorithms for Optimization

2.1 A simplified formal model of evolution

2.2 Optimization through adaptive structures

2.3 A general evolutionary algorithm scheme

2.4 Bibliographical notes

Chapter 3: Genetic Algorithms

3.1 Polyploid GA chromosomes

3.2 Point mutation on GA chromosomes

3.3 GA recombination

Chapter 4: Evolution Strategies

4.1 Representation of individuals

4.2 Mutation

4.3 Recombination

4.4 Selection and reproduction schemes

4.5 Meta-evolution strategies and the island model

4.6 Evolution strategies with Evolvica

4.7 Evolution strategies at work

4.8 Bibliographical notes

Part II: If Darwin Had Been a Programmer…

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

Chapter 5: Programming by Evolution

5.1 Evolving versus programming

5.2 Evolution and programming: a survey

5.3 Bibliographical notes

Color Plates

Chapter 6: Evolutionary Programming

6.1 Computer programs as finite state machines

6.2 Mutation operators on FSA

6.3 Automatic generation of finite state machines

6.4 EP selection and evolution scheme

6.5 Evolutionary programming with Evolvica

6.6 Evolutionary programming at work

6.7 Diversification of evolutionary programming

6.8 Bibliographical notes

Chapter 7: Genetic Programming

7.1 Symbolic expressions as genotypical program structures

7.2 GP recombination of program structures

7.3 GP mutation of program structures

7.4 GP evolution scheme

7.5 Genetic programming in action

7.6 Bibliographical notes

Chapter 8: Advanced Genetic Programming at Work

8.1 Breeding of computer programs: the AntTracKer example

8.2 Analysis of an evolution experiment

8.3 Adaptive operator weights

8.4 Advanced GP operators and functionality

8.5 Bibliographical notes

Part III: Evolution of Developmental Programs

Part III: Introduction to Evolution of Developmental Programs

Chapter 9: Computer Models of Developmental Programs

9.1 Cellular automata and cellular programming

9.2 Lindenmayer systems

9.3 Bibliographical notes

Chapter 10: Evolutionary Inference of Lindenmayer Systems

10.1 Encoding of IL-systems

10.2 Evolution of fractal structures

10.3 Bibliographical notes

Chapter 11: Artificial Plant Evolution

11.1 The ArtFlower garden

11.2 Breeding artificial flowers

11.3 The ArtFlower garden in full bloom

11.4 Extensions for more realistic plant modeling

11.5 Evolution of plant ecosystems

11.6 Bibliographical notes

References

Index