Evolutionary Computation 1 (eBook, ePUB)

Basic Algorithms and Operators
Redaktion: Baeck, Thomas; Michalewicz, Z.; Fogel, D. B

• Format: ePub

Produktbeschreibung

The field of evolutionary computation is expanding dramatically, fueled by the vast investment that reflects the value of applying its techniques. Culling material from the Handbook of Evolutionary Computation, Evolutionary Computation 1: Basic Algorithms and Operators contains up-to-date information on algorithms and operators used in evolutionary computing. This volume discusses the basic ideas that underlie the main paradigms of evolutionary algorithms, evolution strategies, evolutionary programming, and genetic programming. It is intended to be used by individual researchers, teachers, and students working and studying in this expanding field.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 378
• Erscheinungstermin: 3. Oktober 2018
• Englisch
• ISBN-13: 9781351989428
• Artikelnr.: 54786105

Autorenporträt

Thomas Baeck, D.B Fogel, Z Michalewicz

Inhaltsangabe

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.