Metaheuristic Algorithms

Theory and Practice

Gai-Ge Wang, Xiaoqi Zhao, Keqin Li

$273

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

CRC Press
03 April 2024

Applied mathematics; Computing: general; Algorithms & data structures; Mathematical theory of computation; Artificial intelligence

This book introduces the theory and applications of metaheuristic algorithms. It also provides methods for solving practical problems in such fields as software engineering, image recognition, video networks, and in the oceans.

In the theoretical section, the book introduces the information feedback model, learning-based intelligent optimization, dynamic multi-objective optimization, and multi-model optimization. In the applications section, the book presents applications of optimization algorithms to neural architecture search, fuzz testing, oceans, and image processing. The neural architecture search chapter introduces the latest NAS method. The fuzz testing chapter uses multi-objective optimization and ant colony optimization to solve the seed selection and energy allocation problems in fuzz testing. In the ocean chapter, deep learning methods such as CNN, transformer, and attention-based methods are used to describe ENSO prediction and image processing for marine fish identification, and to provide an overview of traditional classification methods and deep learning methods.

Rich in examples, this book will be a great resource for students, scholars, and those interested in metaheuristic algorithms, as well as professional practitioners and researchers working on related topics.

By: Gai-Ge Wang, Xiaoqi Zhao, Keqin Li
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm,
Weight: 1.030kg
ISBN: 9781032714042
ISBN 10: 1032714042
Pages: 452
Publication Date: 03 April 2024
Audience: College/higher education , Professional and scholarly , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

Gai-Ge Wang is currently a Professor with the Ocean University of China, Qingdao, China. His entire published works have been cited more 15,000 times (Google Scholar). The latest Google H-index and i10-index are 62 and 131, respectively. Of his 81 Highly Cited Papers, 15 were selected by Web of Science and 66 selected by Scopus. His research interests include swarm intelligence, evolutionary computation, and big data optimization. Xiaoqi Zhao is currently working at Qingdao University of Technology, China. She graduated from Ocean University of China with a PhD degree and her main research interests are information security, fuzz testing and intelligent optimization. Keqin Li is a SUNY Distinguished Professor (USA) and a National Distinguished Professor (China). He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a Fellow of the American Association for the Advancement of Science (AAAS), and a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA). He is a Member of Academia Europaea (Academician of the Academy of Europe).