February 29-March 3, 1996, San Diego, California
Evolutionary programming, originally conceived by Lawrence J. Fogel in 1960, is a stochastic and optimization method similar to genetic algorithms, but instead emphasizes the behavioral linkage between parents and their offspring, rather than emulating specific genetic operators as observed in nature.
Evolutionary Programming V will serve as a reference and forum for researchers investigating applications and theory of evolutionary programming and other related areas in evolutionary and natural computation. Chapters describe original, unpublished research in evolutionary programming, evolution strategies, genetic algorithms and genetic programming, artificial life, cultural algorithms, and other dynamic models that rely on evolutionary principles.
Topics include the use of evolutionary simulations in optimization, neural network training and design, automatic control, image processing and other applications, as well as mathematical theory or empirical analysis providing insight into the behavior of such algorithms. Of particular interest are applications of simulated evolution to problems in biology and economics.
A Bradfor Book. Complex Adaptive Systems series
"Sinopsis" puede pertenecer a otra edición de este libro.
Evolutionary programming, originally conceived by Lawrence J. Fogel in 1960, is a stochastic and optimization method similar to genetic algorithms, but instead emphasizes the behavioural linkage between parents and their offspring, rather than emulating specific genetic operators as observed in nature. "Evolutionary Programming 5" should serve as a reference and forum for researchers investigating applications and theory of evolutionary programming and other related areas in evolutionary and natural computation. Chapters describe research in evolutionary programming, evolution strategies, genetic algorithms and genetic programming, artificial life, cultural algorithms, and other dynamic models that rely on evolutionary principles. Topics include the use of evolutionary simulations in optimization, neural network training and design, automatic control, image processing and other applications, as well as mathematical theory or empirical analysis providing insights into the behaviour of such algorithms. Of particular interest should be applications of simulated evolution to problems in biology and economics.
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Librería: Bellwetherbooks, McKeesport, PA, Estados Unidos de America
hardcover. Condición: Fine. LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages. Nº de ref. del artículo: MIT-HC-LN-0262061902
Cantidad disponible: 1 disponibles