Dan Simon: Evolutionary Optimization Algorithms, Gebunden
Evolutionary Optimization Algorithms
(soweit verfügbar beim Lieferanten)
- Verlag:
- Wiley, 04/2013
- Einband:
- Gebunden, HC gerader Rücken kaschiert
- Sprache:
- Englisch
- ISBN-13:
- 9780470937419
- Artikelnummer:
- 3304418
- Umfang:
- 784 Seiten
- Gewicht:
- 1222 g
- Maße:
- 241 x 163 mm
- Stärke:
- 45 mm
- Erscheinungstermin:
- 29.4.2013
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms
Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant colonies.
This book discusses the theory, history, mathematics, and programming of evolutionary optimization algorithms. Featured algorithms include genetic algorithms, genetic programming, ant colony optimization, particle swarm optimization, differential evolution, biogeography-based optimization, and many others.
Evolutionary Optimization Algorithms:
- Provides a straightforward, bottom-up approach that assists the reader in obtaining a clear?but theoretically rigorous?understanding of evolutionary algorithms, with an emphasis on implementation
- Gives a careful treatment of recently developed EAs?including opposition-based learning, artificial fish swarms, bacterial foraging, and many others? and discusses their similarities and differences from more well-established EAs
- Includes chapter-end problems plus a solutions manual available online for instructors
- Offers simple examples that provide the reader with an intuitive understanding of the theory
- Features source code for the examples available on the author's website
- Provides advanced mathematical techniques for analyzing EAs, including Markov modeling and dynamic system modeling
Evolutionary Optimization Algorithms: Biologically Inspired and Population-Based Approaches to Computer Intelligence is an ideal text for advanced undergraduate students, graduate students, and professionals involved in engineering and computer science.
Biografie
Dan Simon is a contributing author for Digital Photography All-in-One Desk Reference For Dummies, he is also a regular contributor to the Growing Edge and Pennsylvania magazines. Dan has more than 25 years experience as a journalist and photographer. He began his career as a Navy journalist with assignments aboard several ships, and in Norfolk, VA, Dededo, Guam, and McMurdo Station, Antarctica. After leaving the service in 1990, Dan worked as a river guide and photographer on Pennsylvania's Lehigh River. During the past 10 years, he's worked as a writer and photographer for several Pennsylvania and New Jersey newspapers, including the Wilkes-Barre Times Leader and Allentown Morning Call. His writing and photography have appeared in numerous books, magazines, web sites, and newspapers, including: The New York Times; ESPN; National Geographic Reference Atlas of North American Birds, Fifth Edition; Mid-Atlantic Real Estate Journal; Baltimore Daily Record; Tri-State Real Estate Journal; Corridor Real Estate Journal; All Hands magazine; Army Times; Gloucester County Times; White Haven Journal Herald; Butler Eagle; www.greenworks.tv; and www.drexel.edu/doj/gallery.asp. Dan is currently working on a master's degree in communications from Drexel University (Philadelphia, PA). Dan holds a bachelor's degree in general studies (design arts) from Drexel and an associate's in computer graphic arts from Gloucester County College (Sewell, NJ). He is also a graduate of the military's Defense Information School (Information Specialist Journalist and Broadcaster and Intermediate Photojournalism).
