Description: Mathematical Foundations of Nature-Inspired Algorithms by Xin-She Yang, Xing-Shi He Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Specific nature-inspired algorithms include: swarm intelligence, ant colony optimization, particle swarm optimization, bee-inspired algorithms, bat algorithm, firefly algorithm, and cuckoo search. Publisher Description This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and algorithms, this book moves on to provide a unified framework of mathematical analysis for convergence and stability. Specific nature-inspired algorithms include: swarm intelligence, ant colony optimization, particle swarm optimization, bee-inspired algorithms, bat algorithm, firefly algorithm, and cuckoo search. Algorithms are analyzed from a wide spectrum of theories and frameworks to offer insight to the main characteristics of algorithms and understand how and why they work for solving optimization problems. In-depth mathematical analyses are carried out for different perspectives, including complexity theory, fixed point theory, dynamical systems, self-organization, Bayesian framework, Markov chain framework, filter theory, statistical learning, and statistical measures. Students and researchers in optimization, operations research, artificial intelligence, data mining, machine learning, computer science, and management sciences will see the pros and cons of a variety of algorithms through detailed examples and a comparison of algorithms. Details ISBN 3030169359 ISBN-13 9783030169350 Title Mathematical Foundations of Nature-Inspired Algorithms Author Xin-She Yang, Xing-Shi He Format Paperback Year 2019 Pages 107 Edition 1st Publisher Springer Nature Switzerland AG GE_Item_ID:137715332; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 77.66 USD
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End Time: 2024-12-29T03:41:22.000Z
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ISBN-13: 9783030169350
Book Title: Mathematical Foundations of Nature-Inspired Algorithms
Number of Pages: Xi, 107 Pages
Language: English
Publication Name: Mathematical Foundations of Nature-Inspired Algorithms
Publisher: Springer International Publishing A&G
Subject: Probability & Statistics / Stochastic Processes, Numerical Analysis, Optimization
Publication Year: 2019
Item Weight: 16 Oz
Type: Textbook
Author: Xin-She Yang, Xing-Shi He
Subject Area: Mathematics
Item Length: 9.3 in
Series: Springerbriefs in Optimization Ser.
Item Width: 6.1 in
Format: Trade Paperback