Evolutionary optimization algorithms : biologically-Inspired and population-based approaches to computer intelligence

 0 Người đánh giá. Xếp hạng trung bình 0

Tác giả: Dan Simon

Ngôn ngữ: eng

ISBN-13: 978-0470937419

Ký hiệu phân loại: 006.3 Artificial intelligence

Thông tin xuất bản: Hoboken, New Jersey : John Wiley & Sons Inc., 2013

Mô tả vật lý: xxx, 742 pages : , illustrations ; , 25 cm

Bộ sưu tập: Công nghệ thông tin

ID: 149209

"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 rather than models"-- Provided by publisher."This book is a clear and lucid presentation of Evolutionary Algorithms, with a straightforward, bottom-up approach that provides the reader with a firm grasp of the basic principles of EAs. Covering the theory, history, mathematics, and applications of evolutionary optimization algorithms, this timely and practical book offers lengthy examples, a companion website, MATLAB code, and a Solutions Manual--making it perfect for advanced undergraduates, graduates, and practicing engineers involved in engineering and computer science"-- Provided by publisher.
Includes bibliographical references (pages 685-726) and index.
Tạo bộ sưu tập với mã QR

THƯ VIỆN - TRƯỜNG ĐẠI HỌC CÔNG NGHỆ TP.HCM

ĐT: (028) 71010608 | Email: tt.thuvien@hutech.edu.vn

Copyright @2024 THƯ VIỆN HUTECH