• 1. Introduction.- 1 Evolutionary Automatic Programming.- 2 Molecular Biology.- 3 Grammars.- 4 Outline.- 2. Survey of Evolutionary Automatic Programming.- 1 Introduction.- 2 Evolutionary Automatic Programming.- 3 Origin of the Species.- 4 Tree-based Systems.- 5 String based GP.- 6 Conclusions.- 3. Lessons from Molecular Biology.- 1 Introduction.- 2 Genetic Codes & Gene Expression Models.- 3 Neutral Theory of Evolution.- 4 Further Principles.- 5 Desirable Features.- 6 Conclusions.- 4. Grammatical Evolution.- 1 Introduction.- 2 Background.- 3 Grammatical Evolution.- 4 Discussion.- 5 Conclusions.- 5. Four Examples of Grammatical Evolution.- 1 Introduction.- 2 Symbolic Regression.- 3 Symbolic Integration.- 4 Santa Fe Ant Trail.- 5 Caching Algorithms.- 6 Conclusions.- 6. Analysis of Grammatical Evolution.- 1 Introduction.- 2 Wrapping Operator.- 3 Degenerate Genetic Code.- 4 Removal of Wrapping and Degeneracy.- 5 Mutation Rates.- 6 Conclusions.- 7. Crossover in Grammatical Evolution.- 1 Introduction.- 2 Homologous Crossover.- 3 Headless Chicken.- 4 Conclusions.- 8. Extensions & Applications.- 1 Translation.- 2 Alternative Search Strategies.- 3 Grammar Defined Introns.- 4 GAUGE.- 5 Chorus.- 6 Financial Prediction.- 7 Adaptive Logic Programming.- 8 Sensible Initialisation.- 9 Genetic Programming.- 10 Conclusions.- 9. Conclusions & Future Work.- 1 Summary.- 2 Future Work.

From the reviews: "This is the first book written on grammatical evolution, a new technique that is receiving increasing attention and use. Therefore, the book fulfills an important role ... . The book contains a good description of grammatical evolution ... . 'Grammatical Evolution' should be useful for specialists and Ph.D. students in the field of grammatical evolution and genetic programming, and people working in artificial intelligence and genetic algorithms in general. We would advise it as a good resource for university libraries." (Manuel Alfonseca and Alfonso Ortega, Genetic programming and Evolvable Machines, Vol. 5, 2004)