- author = "A. E. Eiben and J. E. Smith",
- title = "Introduction to Evolutionary Computing",
- publisher = "Springer",
- year = "2003",
- keywords = "genetic algorithms, genetic programming",
- ISBN = "3-540-40184-9",
-
URL = "
http://www.cs.vu.nl/~gusz/ecbook/ecbook.html",
-
DOI = "
doi:10.1007/978-3-662-44874-8",
- size = "xii + 287 (2nd edition)",
-
notes = "Second edition published 2015
http://www.springer.com/gb/book/9783662448731 Book
review \cite{Popyack:2016:GPEM}.
Chapter list
1. Introduction
2. What is an Evolutionary Algorithm?
3. Genetic Algorithms
4. Evolution Strategies
5. Evolutionary Programming
6. Genetic Programming
7. Learning Classifier Systems
8. Parameter Control in Evolutionary Algorithms
9. Multi-Modal Problems and Spatial Distribution
10. Hybridisation with Other Techniques: Memetic Algorithms
11. Theory
12. Constraint Handling
13. Special Forms of Evolution
14. Working with Evolutionary Algorithms
15. Summary
16. Appendices
17. Index
18. References",
