A limited number of hardcopies is available for those who are interested, drop me an e-mail. Contents (chapter level):

• 1. Introduction
• 2. Evolutionary Computation
• Part I: Constraint Satisfaction
• 3. Constraint Satisfaction problems
• 4. Solving Constraint Satisfaction Problems
• 5. Empirical Research on Constraint Satisfaction
• 6. Measuring the Resampling Ratio
• 7. Constraint Satisfaction: Conclusions
• Part II: Data Mining
• 8. Introduction
• 9. Classification
• 10. Symbolic Regression
• 11. Data Mining Conclusions
• 12. Dynamic Behaviour
• 13. Bridging the Gap
• A. RandomCSP Library
• B. Library for Evolutionary Algorithm Programming
• C. Case Study: Scheduling a Telescope

We present a general system that evolves art on the Internet. The system runs on a server which enables it to collect information about its usage world wide; its core uses operators and representations from genetic program-ming. We show two types of art that can be evolved using this general system.

We present a general system that evolves art on the Internet. The system runs on a server which enables it to collect information about its usage world wide; its core uses operators and representations from genetic programming. The output consists of images that are decoded from tree structures. We show how this general system can be used to evolve two types of art: A Mondriaan like art and a type known as mandala. Both types are implemented with the mind of an engineer.

Here we show an application that generates images resembling art as it was produced by Mondriaan, a Dutch artist, well known for his minimalistic and pure abstract pieces of art. The current version generates images using a linear chromosome and a recursive function as a decoder.

Here we show an application that generates images resembling art as it was produced by Mondriaan, a Dutch artist, well known for his minimalistic and pure abstract pieces of art. The current version generates images using a linear chromosome and a recursive function as a decoder.