Dear Colleagues,
The seventh and last chapter of my book GENE EXPRESSION PROGRAMMING:
MATHEMATICAL MODELING BY AN ARTIFICIAL INTELLIGENCE is now available to
browse online at:
http://www.gene-expression-programming.com/gep/Books/index.asp
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
I hope you enjoy it.
Candida Ferreira
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Candida Ferreira, Ph.D.
Chief Scientist, Gepsoft
http://www.gene-expression-programming.com/author.asp
GEP: Mathematical Modeling by an Artificial Intelligence
http://www.gene-expression-programming.com/gep/Books/index.asp
Modeling Software
http://www.gepsoft.com/gepsoft/
Get APS 3.0 Std free with the book!
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