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Bibliografía

1

Thomas Bäck.
Genesys 1.0 user guide.
Technical report, Univ. of Dortmund, Germany, 1992.

2

Thomas Bäck.
Evolutionary Algorithms in Theory and Practice.
Oxford Univ. Press, 1996.

3

J.E. Beasley.
The or-library: a collection of test data sets.
Technical report, Management School, Imperial College, London SW7 2AZ., 1997.
http://mscmga.ms.ic.ac.uk/info.html.

4

B. Berger and T. Leighton.
Protein folding in the hydrophobic-hydrophilic (HP) model is NP-complete.
Journal of Computational Biology, 5(1):27-40, 1998.

5

A. Blanco, D. Pelta, and J.L. Verdegay.
A fuzzy valuation-based local search framework for combinatorial problems.
Journal of Fuzzy Optimization and Decision Making, 1(2):177-193, 2002.

6

Armando Blanco, David Pelta, and Jose Luis Verdegay.
A fuzzy adaptive neighborhood search for function optimization.
In Fourth International Conference on Knowledge-Based Intelligent Engineering Systems & Allied Technologies, KES 2000, volume 2, pages 594-597, 2000.

7

Armando Blanco, David Pelta, and Jose Luis Verdegay.
Introducing fans: a fuzzy adaptive neighborhood search.
In Eigth International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems, IPMU 2000, volume 3, pages 1349-1355, 2000.

8

Armando Blanco, David Pelta, and Jose Luis Verdegay.
Learning about fans behaviour: Knapsack problems as a test case.
In International Conference in Fuzzy Logic and Technology, EUSFLAT'2001, volume 1, pages 17-21, 2001.

9

Armando Blanco, David Pelta, and Jose Luis Verdegay.
Applying a fuzzy sets-based heuristic for the protein structure prediction problem.
International Journal of Intelligent Systems, 17(7):629-643, 2002.

10

O. Cordón, F. Herrera, and M. Lozano.
A classified review on the combination fuzzy logic-genetic algorithms bibliography.
Technical Report DECSAI-95129, Dept. of Computer Science and A.I., University of Granada, 1995.
Ultima Actualización en Diciembre de 1996, 544 referencias, http://decsai.ugr.es/herrera/fl-ga.html.

11

Earl Cox.
The Fuzzy Systems Handbook: A Practitioner's Guide to Building, Using, and Maintaining Fuzzy Systems.
Academic Press, Boston, 1994.

12

P. Crescenzi, D. Goldman, C. Papadimitriou, A. Piccolboni, and M. Yannakakis.
On the complexity of protein folding.
Journal of Computational Biology, 5(3):409-422, 1998.

13

M. Delgado, J. Kacprzyk, J.L. Verdegay, and M.A. Vila, editors.
Fuzzy Optimization. Recent Advances.
Physica Verlag, 1994.

14

Ken A. Dill.
Dominant forces in protein folding.
Biochemistry, 24:1501, 1985.

15

P. Hansen and N. Mladenovic.
An introduction to variable neighborhood search.
In S. Voss, S. Martello, I. Osman, and C. Roucairol, editors, Metaheuristics: Advances and Trends in Local Search Procedures for Optimization, pages 433-458. Kluwer, 1999.

16

P. Hansen and N. Mladenovic.
Variable neighborhood search: Principles and applications.
European Journal of Operational Research, 130:449-467, 2001.

17

Francisco Herrera and Manuel Lozano.
Gradual distributed real-coded genetic algorithms.
IEEE Transactions on Evolutionary Computation, 4(1):43-63, 2000.

18

8th International Fuzzy Systems Associations World Conference, IFSA99, Taipei, Taiwan, 1999.

19

Terry Jones.
Crossover, macromutation, and population based search.
In Proceedings of the Sixth International Conference on Genetic Algorithms, pages 73-80. Morgan Kauffman, 1995.

20

Terry Jones.
Evolutionary Algorithms, Fitness Landscapes and Search.
PhD thesis, University of New Mexico, Albuquerque, 1995.

21

N. Krasnogor, W.E. Hart, J. Smith, and D.A. Pelta.
Protein structure prediction with evolutionary algorithms.
In W. Banzhaf et.al., editor, GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1596-1601. Morgan Kaufman, 1999.

22

N. Krasnogor, D. H. Marcos, D. Pelta, and W. A. Risi.
Protein structure prediction as a complex adaptive system.
In Cezary Janikow, editor, Frontiers in Evolutionary Algorithms (FEA98), pages 441-447, 1998.

23

N. Krasnogor, D. Pelta, P. Martinez Lopez, P. Mocciola, and E. de la Canal.
Genetic algorithms for the protein folding problem: A critical view.
In C. Fyfe E. Alpaydin, editor, Proceedings of Engineering of Intelligent Systems, EIS'98, pages 353-360. ICSC Academic Press, 1998.

24

S. Martello and P. Toth.
Knapsack Problems: Algorithms and Computer Implementations.
John Wiley & Sons, 1990.

25

Z. Michalewicz.
Genetic Algorithms + Data Structures = Evolution Programs.
Springer Verlag, 1999.

26

Jan T. Pedersen and John Moult.
Genetic algorithms for protein structure prediction.
Current Opinion in Structural Biology, 6:227-231, 1996.

27

David Pelta, N. Krasnogor, Armando Blanco, and Jose Luis Verdegay.
F.a.n.s. for the protein folding problem: Comparing encodings and search modes.
In Fourth International Metaheuristics Conference, MIC 2001, pages 327-331, 2001.

28

Jose Luis Verdegay, editor.
Fuzzy Sets based Heuristics for Optimization.
Studies in Fuzziness and Soft Computing. Springer, 2003.

29

Kaizhi Yue, Klaus M. Fiebig, Paul D. Thomas, Chan Hue Sun, Eugene I. Shakhnovich, and Ken A. Dill.
A test of lattice protein folding algorithms.
Proc. Natl. Acad. Sci. USA, 92:325-329, 1995.

30

H. J. Zimmermann.
Fuzzy Sets Theory and Its Applications.
Kluwer Academic, 1996.