%0 Book %1 koza:gp3 %A Koza, John R. %A Andre, David %A Bennett III, Forrest H %A Keane, Martin %D 1999 %I Morgan Kaufman %K algorithms, genetic programming %T Genetic Programming 3: Darwinian Invention and Problem Solving %U http://www.mkp.com/books_catalog/1-55860-543-6.asp %@ 1-55860-543-6

@book{koza:gp3, added-at = {2008-06-19T17:35:00.000+0200}, author = {Koza, John R. and Andre, David and {Bennett III}, Forrest H and Keane, Martin}, biburl = {https://www.bibsonomy.org/bibtex/2dab2046880165a6dfe4fac7bb43fc516/brazovayeye}, interhash = {ab23cdced2d46a385cb7faa162feb195}, intrahash = {dab2046880165a6dfe4fac7bb43fc516}, isbn = {1-55860-543-6}, keywords = {algorithms, genetic programming}, month = {April}, notes = {Genetic programming is a method for getting a computer to solve a problem by telling it what needs to be done instead of how to do it. The authors present genetically evolved solutions to dozens of problems of design, optimal control, classification, system identification, function learning, and computational molecular biology. Among the solutions are 14 results competitive with human-produced results, including 10 rediscoveries of previously patented inventions. Researchers in artificial intelligence, machine learning, evolutionary computation, and genetic algorithms will find this an essential reference to the most recent and most important results in the rapidly growing field of genetic programming. FEATURES -- Explains how the success of genetic programming arises from seven fundamental differences distinguishing it from conventional approaches to artificial intelligence and machine learning -- Describes how genetic programming uses architecture-altering operations to make on-the-fly decisions on whether to use subroutines, loops, recursions, and memory -- Demonstrates that genetic programming possesses 16 attributes that can reasonably be expected of a system for automatically creating computer programs -- Presents the general-purpose Genetic Programming Problem Solver -- Includes an introduction to genetic programming for the uninitiated CONTENTS Introduction -- Background -- Architecture-Altering Operations -- Genetic Programming Problem Solver (GPPS) -- Automated Synthesis of Analog Electrical Circuits -- Evolvable Hardware -- Discovery of Cellular Automata Rules -- Discovery of Motifs and Programmatic Motifs for Molecular Biology -- Parallelization and Implementation Issues -- Conclusion}, publisher = {Morgan Kaufman}, size = {1100 pages}, timestamp = {2008-06-19T17:44:08.000+0200}, title = {Genetic Programming 3: {Darwinian} Invention and Problem Solving}, url = {http://www.mkp.com/books_catalog/1-55860-543-6.asp}, year = 1999 }