Advances in Genetic Programming, Vol. 3
by L. Spector, W.B. Langdon, U. O'Reilly, P.J. Angeline
Publisher: The MIT Press 1999
Number of pages: 488
Genetic programming is a form of evolutionary computation that evolves programs and program-like executable structures for developing reliable time- and cost-effective applications. This third volume of Advances in Genetic Programming highlights many of the recent technical advances in this increasingly popular field.
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by R. Poli, W. B. Langdon, N. F. McPhee - Lulu.com
This book is an introduction to genetic programming GP is a systematic method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. GP has generated lots of results and applications.
by Witold Kosinski - InTech
With the recent trends towards massive data sets and significant computational power, evolutionary computation is becoming much more relevant to practice. The book presents recent improvements, ideas and concepts in a part of a huge EA field.
by Eisuke Kita - InTech
Evolutionary algorithms are successively applied to wide optimization problems in the engineering, marketing, operations research, and social science, such as include scheduling, genetics, material selection, structural design and so on.
by Sebastian Ventura (ed.) - InTech
Genetic programming (GP) is a branch of Evolutionary Computing that aims the automatic discovery of programs to solve a given problem. Since its appearance, in the earliest nineties, GP has become one of the most promising paradigms ...