소장자료검색

책소개

The field of evolutionary computation is expanding dramatically, fuelled by vast investment reflecting the value of applications of its techniques.

The number of courses offered in evolutionary computing is growing rapidly: reflecting demand for material published in Handbook of Evolutionary Computation to be published in units suitable for use by students and teachers as well as individual researchers, we are publishing two volumes on algorithms and operators. The books contain material which has been brought right up to date, as well as some new contributions.

This volume discusses the basic ideas which underlie the main paradigms of evolutionary algorithms, evolution strategies, evolutionary programming, genetic programming. It is intended to be used by individual researchers and by teachers and students in the expanding field of evolutionary computation.

목차

PART 1 WHY EVOLUTIONARY COMPUTATION?
1. Introduction to evolutionary computation.
2. Possible applications of evolutationary computation.
3. Advantages (and disadvantages) of evolutionary computation over other approaches. PART
2. EVOLUTIONARY COMPUTATION: THE BACKGROUND.
4. Principles of evolutionary processes.
5. Principles of genetics.
6. A history of evolutionary computation. PART 3 EVOLUTIONARY ALGORITHMS AND THEIR STANDARD INSTANCES.
7. Introduction to evolutionary algorithms.
8. Genetic algorithms.
9. Evolution strategies.
10. Evolutionary programming.
11. Derivative methods in genetic programming.
12. Learning classifier systems.
13. Hybrid methods. PART
4. REPRESENTATIONS.
14. Introduction to representations.
15. Binary strings.
16. Real-valued vectors.
17. Permutations.
18. Finite-state representations.
19. Parse trees.
20. Guidelines for a suitable encoding.
21. Other representations. PART
5. SELECTION.
22. Introduction to selection.
23. Proportionary selection and sampling algorithms.
24. Tournament selection.
25. Rank-based selection.
26. Boltzmann selection.
27. Other selection methods.
28. Generation gap methods.
29. A comparison of selection mechanisms.
30. Interactive evolution. PART
6. SEARCH OPERATORS.
31. Introduction to search operators.
32. Mutation operators.
33. Recombination.
34. Other operators. Index.