Evolutionary learning of boolean queries by multiobjective genetic programming

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2439, Issue , 2002, Pages 710-719

  Cordón, Oscar ^a   Herrera Viedma, Enrique ^a   Luque, María ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; SEARCH ENGINES;

AUTOMATIC DERIVATION; EVOLUTIONARY LEARNING; GENETIC PROGRAMMING TECHNIQUE; INFORMATION RETRIEVAL PROBLEMS; MULTI-OBJECTIVE EVOLUTIONARY; MULTI-OBJECTIVE PROBLEM; MULTIOBJECTIVE GENETIC PROGRAMMING; PRECISION AND RECALL;

GENETIC PROGRAMMING;

EID: 84944325369     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45712-7_68     Document Type: Conference Paper

References (19)

1. Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval, Adisson-Wesley (1999).
2. Baker, J.E.: Reducing bias and inefficiency in the selection algorithm, Proc. Second International Conference on Genetic Algorithms (ICGA’87), Hillsdale, NJ, (1987) 14-21.
3. Bordogna, G., Carrara, P., Pasi, G.: Fuzzy approaches to extend Boolean information retrieval, in: P. Bosc, J. Kacprzyk (Eds.), Fuzziness in Database Management Systems (1995) 231-274.
4. Chen, H.: A machine learning approach to inductive query by examples: an experiment using relevance feedback, ID3, genetic algorithms, and simulated annealing, Journal of the American Society for Information Science 49:8 (1998) 693-705.
5. Coello, C.A., Van Veldhuizen, D.A., Lamant, G.B.: Evolutionary Algorithms for Solving Multi-Objective Problems, Kluwer Academic Publishers (2002).
6. Cordón, O., Moya, F., Zarco, C.: A brief study on the application of genetic algorithms to information retrieval (in spanish), Proc. Fourth International Society for Knowledge Organization (ISKO) Conference (EOCONSID’99), Granada, Spain, (April, 1999) 179-186.
7. Cordón, O., Moya, F., Zarco, C.: A GA-P algorithm to automatically formulate extended Boolean queries for a fuzzy information retrieval system, Mathware & Soft Computing 7:2-3 (2000) 309-322.
8. Cordón, O., Moya, F., Zarco, C.: A new evolutionary algorithm combining simulated annealing and genetic programming for relevance feedback in fuzzy information retrieval systems, Soft Computing 6:5 (2002).
9. Deb, K.: Multi-Objective Optimization Using Evolutionary Algorithms, Wiley (2001).
10. Fonseca, C.M., Fleming, P.J.: Genetic algorithms for multiobjective optimization: Formulation, Discussion and Generalization, Proc. Fifth International Conference on Genetic Algorithms (ICGA’93), San Mateo, CA (July, 1993) 416-423.
11. Goldberg, D.E., Richardson, J.: Genetic algorithms with sharing for multimodal function optimization, Proc. Second International Conference on Genetic Algorithms (ICGA’87), Hillsdale, NJ, (1987) 41-49.
12. Koza, J.: Genetic programming. On the programming of computers by means of natural selection, The MIT Press (1992).
13. Kraft, D.H., Petry, F.E., Buckles, B.P., Sadasivan, T.: Genetic algorithms for query optimization in information retrieval: relevance feedback, in: E. Sanchez, T. Shibata, L.A. Zadeh, Genetic Algorithms and Fuzzy Logic Systems, World Scientific (1997) 155-173.
14. Levenshtein, V.I.: Binary codes capable of correcting deletions, insertions and reversals, Sov. Phys. Dokl. 6 (1966) 705-710.
15. Rodríguez-Vazquez, K., Fonseca, C.M., Fleming, P.J.: Multiobjective genetic programming: A nonlinear system identification application, Late Breaking Papers at the Genetic Programming 1997 Conference, Stanford, CA (July, 1997) 207-212.
16. Salton, G., McGill, M.J.: Introduction to modern information retrieval, McGraw-Hill (1989).
17. Smith, M.P., Smith, M.: The use of genetic programming to build Boolean queries for text retrieval through relevance feedback, Journal of Information Science 23:6 (1997) 423-431.
18. van Rijsbergen, C.J.: Information Retrieval (2nd edition), Butterworth (1979).
19. Zitzler, E., Deb, K., Thiele, L.: Comparison of multiobjective evolutionary algorithms: Empirical results, Evolutionary Computations 8:2 (2000) 173-195.