Logo

Evolved to Win by Moshe Sipper

Small book cover: Evolved to Win

Evolved to Win
by

Publisher: Lulu.com
ISBN-13: 9781470972837
Number of pages: 193

Description:
Moshe Sipper and his group have produced a plethora of award-winning results, in numerous games of diverse natures, evidencing the success and efficiency of evolutionary algorithms in general -- and genetic programming in particular -- at producing top-notch, human-competitive game strategies. From classic chess and checkers, through simulated car racing and virtual warfare, to mind-bending puzzles, this book serves both as a tour de force of the research landscape and as a guide to the application of evolutionary computation within the domain of games.

Home page url

Download or read it online for free here:
Download link
(1.9MB, PDF)

Similar books

Book cover: A Field Guide to Genetic ProgrammingA Field Guide to Genetic Programming
by - 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.
(10152 views)
Book cover: Advances in Genetic Programming, Vol. 3Advances in Genetic Programming, Vol. 3
by - 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.
(4527 views)
Book cover: Genetic Algorithms and Evolutionary ComputationGenetic Algorithms and Evolutionary Computation
by - The TalkOrigins Archive
Creationists 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.
(4220 views)
Book cover: Evolutionary AlgorithmsEvolutionary Algorithms
by - 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.
(5564 views)