Genetic Algorithms: Principles and Perspectives: A Guide to Ga Theory
作者： Jonathan E. Rowe , Colin R. Reeves
DOI:
关键词: Index (economics) 、 Free lunch 、 Artificial intelligence 、 Computer science 、 Dynamical systems theory 、 Statistical mechanics 、 Markov process 、 Bibliography 、 Test (assessment)
摘要: 1. Introduction. 2. Basic Principles. 3. Schema Theory. 4. Non Free Lunch for GAs. 5. GAs as Markov Processes. 6. The Dynamical Systems Model. 7. Statistical Mechanics Approximations. 8. Predicting GA Performance. 9. Landschapes. 10. Summary. A: Test Problems. Bibliography. Index.
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