Usted se encuentra revisando un registro bibliográfico de la BDU Para conocer mas sobre la Base de Datos Unificada haga click en el ícono del home

Titulos:
Genetic programming: on the programming of computers by means of natural selection John R. Koza
Idiomas:
eng
ISBN:
0262111705
Lugar de Edición:
Editor:
MIT Press,
Fecha de Edición:
1992
Notas Formateada:
1. Introduction and overview -- 2. Pervasiveness of the problem of program induction -- 3. Introduction to genetic algorithms -- 4. The representation problem for genetic algorithms -- 5. Overview of genetic programming -- 6. Detailed description of genetic programming -- 7. Four introductory examples of genetic programming -- 8. Amount of processing reuired to solve a problem -- 9. Nonrandomness of genetic programming -- 10. Symbolic regression-Error-driven evolution -- 11. Control-cost-driven evolution -- 12. Evolution of emergent behavior -- 13. Evolution of subsumption -- 14. Entropy-driven evolution -- 15. Evolution of strategy -- 16.Co-evolution -- 17. Evolution of classification -- 18. Iteration, recursion, and setting -- 19. Evolution of constrained syntactic structures -- 20.Evolution of building blocks -- 21. Evolution of hirearchies of buildings blocks -- 23. Ruggedness of genetic programming -- 24. Extraneous variables and functions -- 25. Operational issues -- 26. Review of genetic programming -- 27. Comparsion with other paradigms -- 28. Spontaneous emergence of self-replicating and evolutionarily self-improving computer programs -- 29. Conclusions
Palabras clave:

Leader:
cam
Campo 003:
AR-BaIT
Campo 008:
270401s1992t |||||||||||||||||eng
Campo 020:
^a0262111705
Campo 040:
^aITBA^cITBA
Campo 041:
0 ^aeng
Campo 100:
1 ^aKoza, John R.^99349
Campo 245:
10^aGenetic programming:^bon the programming of computers by means of natural selection^cJohn R. Koza
Campo 246:
Campo 260:
^bMIT Press,^c1992
Campo 300:
^axiv, 819 p.
Campo 505:
0 ^a1. Introduction and overview -- 2. Pervasiveness of the problem of program induction -- 3. Introduction to genetic algorithms -- 4. The representation problem for genetic algorithms -- 5. Overview of genetic programming -- 6. Detailed description of genetic programming -- 7. Four introductory examples of genetic programming -- 8. Amount of processing reuired to solve a problem -- 9. Nonrandomness of genetic programming -- 10. Symbolic regression-Error-driven evolution -- 11. Control-cost-driven evolution -- 12. Evolution of emergent behavior -- 13. Evolution of subsumption -- 14. Entropy-driven evolution -- 15. Evolution of strategy -- 16.Co-evolution -- 17. Evolution of classification -- 18. Iteration, recursion, and setting -- 19. Evolution of constrained syntactic structures -- 20.Evolution of building blocks -- 21. Evolution of hirearchies of buildings blocks -- 23. Ruggedness of genetic programming -- 24. Extraneous variables and functions -- 25. Operational issues -- 26. Review of genetic programming -- 27. Comparsion with other paradigms -- 28. Spontaneous emergence of self-replicating and evolutionarily self-improving computer programs -- 29. Conclusions
Proveniencia:
^aInstituto Tecnológico Buenos Aires (ITBA) - Biblioteca
Seleccionar y guardar el registro Haga click en el botón del carrito
Institucion:
Instituto Tecnológico Buenos Aires (ITBA)
Dependencia:
Biblioteca

Compartir este registro en Redes Sociales

Seleccionar y guardar el registro Haga click en el botón del carrito