Linkage learning through probabilistic expression

Computer Methods in Applied Mechanics and Engineering

Volumn 186, Issue 2-4, 2000, Pages 295-310

  Harik, Georges R ^a   Goldberg, David E ^a  

^a NONE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; CONFORMAL MAPPING; CONVERGENCE OF NUMERICAL METHODS; GENETIC ALGORITHMS; GENETIC ENGINEERING; KNOWLEDGE REPRESENTATION; MATHEMATICAL MODELS; OPTIMIZATION; PROBABILITY DISTRIBUTIONS;

LINKAGE LEARNING; PROBABILISTIC EXPRESSION;

LEARNING SYSTEMS;

EID: 0033747993     PISSN: 00457825     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0045-7825(99)00388-6     Document Type: Article

References (15)

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3. G. Harik, Learning gene linkage to efficiently solve problems of bounded difficulty using genetic algorithms, Illigal Report No. 97005 and doctoral dissertation, University of michigan, Ann Arbor, University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, 1997.
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14. A.G. Pereira, Extending the environmental impact assessment process, Unpublished.
15. F.G. Lobo, K. Deb, D.E. Goldberg, G. Harik, L. Wang, Compressed introns in a linkage learning genetic algorithm, Illigal Report No. 97010, University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, 1997.