Chi-square matrix: An approach for building-block identification

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

Volumn 3321, Issue , 2004, Pages 63-77

  Aporntewan, Chatchawit ^a   Chongstitvatana, Prabhas ^a  

^a CHULALONGKORN UNIVERSITY   (Thailand)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; MATRIX ALGEBRA; BAYESIAN NETWORKS; DECISION MAKING; OPTIMIZATION;

BINARY SOLUTIONS; BLOCK IDENTIFICATION; BUILDING BLOCKES; CHI-SQUARE MATRIX; COMMON STRUCTURES; CROSSOVER OPERATOR; CUT-POINT; PROBLEM SIZE; SIMPLE GENETIC ALGORITHM; SYMMETRIC MATRICES; GENETIC ALGORITHM (GAS); HIERARCHICAL BAYESIAN OPTIMIZATION ALGORITHMS; MATRIX COMPUTATION;

BAYESIAN NETWORKS; MATRIX ALGEBRA;

EID: 35048823815     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30502-6_5     Document Type: Article

References (12)

1. Aporntewan, C., and Chongstitvatana, P. (2004). Simultaneity matrix for solving hierarchically decomposable functions. Proceedings of the Genetic and Evolutionary Computation, page 877-888, Springer-Verlag, Heidelberg, Berlin.
2. Goldberg, D. E. (2002). The Design of Innovation: Lessons from and for Competent Genetic Algorithms. Kluwer Academic Publishers, Boston, MA.
3. Harik, G. R. (1997). Learning linkage. Foundation of Genetic Algorithms 4, page 247-262, Morgan Kaufmann, San Francisco, CA.
4. Harik, G. R. (1999). Linkage learning via probabilistic modeling in the ECGA. Technical Report 99010, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Champaign, IL.
5. Holland, J. H. (2000). Building blocks, cohort genetic algorithms, and hyperplane-defined functions. Evolutionary Computation, Vol. 8, No. 4, page 373-391, MIT Press, Cambridge, MA.
6. Kargupta, H., and Park, B. (2001). Gene expression and fast construction of distributed evolutionary representation. Evolutionary Computation, Vol. 9, No. 1, page 43-69, MIT Press, Cambridge, MA.
7. Munetomo, M., and Goldberg, D. E. (1999). Linkage identification by non-monotonicity detection for overlapping functions. Evolutionary Computation, Vol. 7, No. 4, page 377-398, MIT Press, Cambridge, MA.
8. Pelikan, M., Goldberg, D. E., and Lobo, F. (1999). A survey of optimization by building and using probabilistic models. Computational Optimization and Applications, Vol. 21, No. 1, page 5-20, Kluwer Academic Publishers.
9. Pelikan, M. (2002). Bayesian optimization algorithm: From single level to hierarchy. Doctoral dissertation, University of Illinois at Urbana-Champaign, Champaign, IL.
10. Thierens, D. (1999). Scalability problems of simple genetic algorithms. Evolutionary Computation, Vol. 7, No. 4, page 331-352, MIT Press, Cambridge, MA.
11. Watson, R. A., and Pollack, J. B. (1999). Hierarchically consistent test problems for genetic algorithms. Proceedings of Congress on Evolutionary Computation, page 1406-1413, IEEE Press, Piscataway, NJ
12. Yu, T., and Goldberg, D. E. (2004). Dependency structure matrix analysis: off-line utility of the dependency structure matrix genetic algorithm. Proceedings of the Genetic and Evolutionary Computation, page 355-366, Springer-Verlag, Heidelberg, Berlin.