4/28/2005 - The seventh and last chapter of the book GENE EXPRESSION PROGRAMMING: MATHEMATICAL MODELING BY AN ARTIFICIAL INTELLIGENCE is now available to browse online at:

https://www.gene-expression-programming.com/Books/

All the seven chapters and are now available online (1 Introduction; 2 The Entities of Gene Expression Programming; 3 The Basic Gene Expression Algorithm; and 4 The Basic GEA in Problem Solving; 5 Design of Neural Networks; 6 Combinatorial Optimization; and 7 Evolutionary Studies).

Entries for Chapter 7:

Chapter 7: EVOLUTIONARY STUDIES

1. Genetic operators and their power
1.1. Comparing the performance of mutation, transposition, and recombination
1.2. Evolutionary dynamics of different types of GEP populations
1.2.1. Mutation
1.2.2. Transposition
1.2.3. Recombination
2. The founder effect
2.1. Choosing non-homogenizing and homogenizing populations to study the founder effect
2.2. Analyzing the founder effect in simulated evolutionary processes
3. Testing the building block hypothesis
4. The role of neutrality in evolution
4.1. Genetic neutrality in unigenic systems
4.2. Genetic neutrality in multigenic systems
5. The higher hierarchical organization of multigenic systems
6. The open-ended evolution of GEP populations
7. Analysis of different selection schemes