Burke, Edmund K.
Search Methodologies
1. Introduction
Edmund K. Burke, Graham Kendall
2. Classical Techniques
Kathryn A. Dowsland
3. Integer Programming
Robert Bosch, Michael Trick
4. Genetic Algorithms
Kumara Sastry, David Goldberg, Graham Kendall
5. Genetic Programming
John R. Koza, Riccardo Poli
6. Tabu Search
Michel Gendreau, Jean-Yves Potvin
7. Simulated Annealing
Emile Aarts, Jan Korst, Wil Michiels
8. Variable Neighborhood Search
Pierre Hansen, Nenad Mladenovi?
9. Constraint Programming
Eugene C. Freuder, Mark Wallace
10. Multi-Objective Optimization
Kalyanmoy Deb
11. Complexity Theory and the No Free Lunch Theorem
Darrell Whitley, Jean Paul Watson
12. Machine Learning
Xin Yao, Yong Liu
13. Artificial Immune Systems
Uwe Aickelin, Dipankar Dasgupta
14. Swarm Intelligence
Daniel Merkle, Martin Middendorf
15. Fuzzy Reasoning
Costas P. Pappis, Constantinos I. Siettos
16. Rough Set Based Decision Support
Roman Slowinski, Salvatore Greco, Benedetto Matarazzo
17. Hyper-Heuristics
Peter Ross
18. Approximation Algorithms
Carla P. Gomes, Ryan Williams
19. Fitness Landscapes
Colin R. Reeves
Nyckelord: Mathematics, Operations Research, Mathematical Programming, Optimization, Operations Research/Decision Theory, Computing Methodologies, Appl.Mathematics/Computational Methods of Engineering, Mathematical Modeling and Industrial Mathematics
- Författare
- Burke, Edmund K.
- Kendall, Graham
- Utgivare
- Springer
- Utgivningsår
- 2005
- Språk
- en
- Utgåva
- 1
- Sidantal
- 624 sidor
- Kategori
- Naturvetenskaper
- Format
- E-bok
- eISBN (PDF)
- 9780387283562