Genetic Algorithms and Evolutionary Computation
by Adam Marczyk
Publisher: The TalkOrigins Archive 2004
Creationists often argue that evolutionary processes cannot create new information, or that evolution has no practical benefits. This article disproves those claims by describing the explosive growth and widespread applications of genetic algorithms, a computing technique based on principles of biological evolution.
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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 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 ...
by Moshe Sipper - Lulu.com
Moshe Sipper and his group have produced a plethora of award-winning results, in numerous games of diverse natures, evidencing the efficiency of evolutionary algorithms in general at producing top-notch, human-competitive game strategies.
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.