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Title

Evolvica: Evolutionary Algorithms in Action
Author

Christian J. Jacob
Organization: University of Calgary
Department: Computer Science
Materials

Textbooks:
Principia Evolvica: Simulierte Evolution mit Mathematica by Jacob (1997) Heidelberg, dpunkt-Verlag (includes a CD with Mathematica notebooks. For more details see http://pages.cpsc.ucalgary.ca/%7ejacob/IEC/
Principia Evolvica by Jacob (1999) San Francisco, CA, Morgan Kaufmann.

Course Materials:
A suite of laboratory materials accompanies the textbook, including HTML-based tutorials enhanced with Java applets and Mathematica notebooks.

Related MathSource Items:
Genetic Programming with Mathematica (see "Related Items" below)

Related Books:
Genetic Algorithms
An Introduction to Genetic Algorithms by Mitchell (1996) Cambridge, MA, MIT Press.
Genetic Programming
Genetic Programming: An Introduction by Banzhaf and Nordin (1997) San Francisco, CA, Morgan Kaufmann.
Evolution Strategies
Evolutionsstrategie by Rechenberg (1994) Stuttgart, Frommann-Holzboog.
Evolutionary Programming
Artificial Intelligence through Simulated Evolution by Fogel and Owens New York, John Wiley and Sons.
Evolutionary Computation
Evolutionary Computation: Towards a New Philosophy of Machine Intelligence by Fogel (1995) New York, IEEE Press.
Cellular Automata
Cellular Automata and Complexity by Stephen Wolfram (1994) Reading, Addison-Wesley.
Lindenmayer Systems
The Algorithmic Beauty of Plants by Prusinkiewicz and Lindenmayer (1990) New York, Springer.
Description

Evolvica is a hypertext-based tutorial about Evolutionary Computation and is currently being developed at the Dept. of Computer Science 2, Programming Languages at the University of Erlangen-Nuremberg.
Mainly relying on Mathematica's programming environment and Java, Evolvica comprises a collection of HTML documents in combination with Mathematica notebooks (versions 3.0 and 2.x) and Java applets.
Evolvica is used in the classroom, in seminars, courses, and lectures, to demonstrate basic principles of evolutionary computation and optimization techniques as well as algorithmic schemes gleaned from nature. Animations, hyperlinked tutorial documents, applets, and notebooks with more detailed course material help to present background ideas and algorithms in a vivid and interactive way.

The course pages are periodically updated, and we wish to include more material on the following related topics in the context of "Algorithms gleaned from Nature":
  • Decentralized evolutionary computing
  • Ant colony optimization
  • Ecosystem modeling and simulation
  • Cellular programming and evolution of cellular automata


We also welcome any comments and directions to related web sites. We would be pleased to include links to other sites on, e.g., genetic algorithms, genetic programming, Lindenmayer systems, or cellular automata evolution.
Subjects

*Applied Mathematics > Complex Systems
*Mathematics > Calculus and Analysis > Dynamical Systems
*Mathematics > Discrete Mathematics > Cellular Automata
*Science > Biology
Related items

*Analysis of Infinite-Dimensional Traits by Symmetric Coefficients   [in MathSource: Packages and Programs]
*Genetic Algorithms   [in MathSource: Packages and Programs]
*Genetic Programming with Mathematica   [in MathSource: Packages and Programs]
*Illustrating Evolutionary Computation with Mathematica   [in Books]
*Packages for Experimental Genetics   [in MathSource: Packages and Programs]
*Principia Evolvica: simulierte Evolution mit Mathematica   [in Books]
*Simulating Evolution with Mathematica   [in Articles]
*Theoretical Evolutionary Ecology: Model Solutions   [in MathSource: Packages and Programs]
URL

http://pages.cpsc.ucalgary.ca/%7ejacob/IEC/