An Introduction to Genetic Algorithms (Complex Adaptive Systems)
Editorial Reviews
John Holland
This is the best general book on genetic algorithms written to date. It covers background, history, and motivation; it selects important, informative examples of applications and discusses the use of genetic algorithms in scientific models; and it gives a good account of the status of the theory of genetic algorithms. Best of all, the book presents its material in clear, straightforward, felicitous prose.
--This text refers to the
Hardcover
edition.
Book Description
Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics--particularly in machine learning, scientific modeling, and artificial life--and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics.
An Introduction to Genetic Algorithms (Complex Adaptive Systems)
An Introduction to Genetic Algorithms (Complex Adaptive Systems),Melanie Mitchell,The MIT Press,0262631857,Artificial Intelligence - General,Computer Science,Computers,Computers - General Information,Programming - General,Science/Mathematics,Computers / Computer Science
Discount Books:
Recommended Books