Evolutionary computation
toward a new philosophy of machine intelligence
By David B. Fogel
"Evolutionary computation" is published by IEEE Press in 2000 - New York, it has 270 pages and the language of the book is English.
“Evolutionary computation” Metadata:
- Title: Evolutionary computation
- Author: David B. Fogel
- Language: English
- Number of Pages: 270
- Publisher: IEEE Press
- Publish Date: 2000
- Publish Location: New York
“Evolutionary computation” Subjects and Themes:
- Subjects: ➤ Evolutionary computation - Computer simulation - Artificial intelligence - Signal processing - Engineering - Nonfiction - Technology - Evolutionary programming (Computer science) - Simulation par ordinateur - Intelligence artificielle - Réseaux neuronaux à structure évolutive - Kunstmatige intelligentie - Evolutie - Genetische algoritmen - Evolutionärer Algorithmus - Künstliche Intelligenz - Algorithmes génétiques - Genetischer Algorithmus - Programmeren (computers) - Stochastische programmering - Algoritmen - Programmation évolutionnaire - Aufsatzsammlung - Computers & the internet - Computer engineering
Edition Specifications:
- Pagination: xvii, 270 p. :
Edition Identifiers:
- The Open Library ID: OL21573583M - OL3495624W
- Online Computer Library Center (OCLC) ID: 41017395
- Library of Congress Control Number (LCCN): 99021040
- ISBN-10: 078035379X
- All ISBNs: 078035379X
AI-generated Review of “Evolutionary computation”:
"Evolutionary computation" Description:
The Open Library:
"In this revised and significantly expanded second edition, distinguished scientist David B. Fogel presents the latest advances in both the theory and practice of evolutionary computation to help you keep pace with developments in this fast-changing field.". "In-depth and updated, Evolutionary Computation shows you how to use simulated evolution to achieve machine intelligence. You will gain current insights into the history of evolutionary computation and the newest theories shaping research. Fogel carefully reviews the "no free lunch theorem" and discusses new theoretical findings that challenge some of the mathematical foundations of simulated evolution. This second edition also presents the latest game-playing techniques that combine evolutionary algorithms with neural networks, including their success in playing competitive checkers. Chapter by chapter, this comprehensive book highlights the relationship between learning and intelligence.". "Evolutionary Computation features an unparalleled integration of history with state-of-the-art theory and practice for engineers, professors, and graduate students of evolutionary computation and computer science who need to keep up-to-date in this developing field."--BOOK JACKET.
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