The book is divided into two parts that reflect the emphasis on Genetic Algorithms (Part II) and the general fromework of Evolutionary Algorithms that Genetic Algorithms fit into (Part I).
Part I Concentrates on the development of a general description of Evolutionary Algorithms, i.e.search algorithms gleaned from organic evolution.
Part II Focuses the research on Genetic Algorithms and reports on how the transfer of some concepts from Evolution Strategies (and Evolutionary Programming) to Genetic Algorithms was achieved.
1. Organic Evolution and Problem Solving
2. Specific Evolutionary Algorithms
3. Artificial Landscapes
4. An Empirical Comparison
5. Selection
6. Mutation
7. An Experiment in Meta-Evolution
Summary and Outlook
A Data for the Fletcher-Powell Function
B Data from selection Experiments
C Software
D The Multiprocessor Environment
E Mathematical Symbols