Genetic Algorithms and Evolutionary Computation
by Adam Marczyk
Publisher: The TalkOrigins Archive 2004
Description:
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.
Download or read it online for free here:
Read online
(online html)
Similar books
Genetic Programming: New Approaches and Successful Applicationsby 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 ...
(9220 views)
Advances in Genetic Programming, Vol. 3by L. Spector, W.B. Langdon, U. O'Reilly, P.J. Angeline - The MIT Press
Genetic programming is a form of evolutionary computation that evolves programs and program-like executable structures for developing reliable applications. This volume highlights the recent technical advances in this increasingly popular field.
(8910 views)
Global Optimization Algorithms: Theory and Applicationby Thomas Weise
The book on global optimization algorithms - methods to find optimal solutions for given problems. It focuses on evolutionary algorithms, genetic algorithms, genetic programming, learning classifier systems, evolution strategy, etc.
(13631 views)
Advances in Evolutionary Algorithmsby 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.
(14923 views)