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Nature-Inspired Methods for Metaheuristics Optimization: Algorithms and Applicat

Description: Nature-Inspired Methods for Metaheuristics Optimization by Fouad Bennis, Rajib Kumar Bhattacharjya Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. Publisher Description This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers. Author Biography Professor Fouad Bennis is a Professor of Mechanical Engineering and Director of the International Relations Department at the Ecole Centrale de Nantes. He received his Engineering Master Degree (1987) and PhD in robotics (1991) from the same University. He has been awarded with the Order of Academic Palms as a Chevalier and as a Commandeur in 2007 and 2016, respectively. His research at the Laboratory of Digital Sciences of Nantes (LS2N), Ecole Centrale de Nantes, is covering Multi-Disciplinary Optimization, Product and Process design, and Digital Human Modeling. In particular, he is dealing with: analysis of mechanical tolerance, robust, fuzzy and collaborative design, and integration of virtual reality in working environments He has achieved important results in studying human performance using virtual reality. He has gained 30 years of teaching and research experience. He is author of 13 book chapters and more than 150 peer-reviewed scientific publications in anumber of renowned international journals and conference proceedings. Prof. Rajib Kumar Bhattacharjya is a Professor in the Department of Civil Engineering at the Indian Institute of Technology Guwahati, India. He received his Bachelors and Masters Degree in Civil Engineering from Gauhati University, India, in 1993 and 1995, respectively, and his Ph.D. in Civil Engineering from the Indian Institute of Technology Kanpur, India, in 2004. His research interests include classical and non-classical optimization methods, groundwater management, groundwater pollution control, and management of saltwater intrusion in coastal aquifers, as well as artificial neural networks and their applications in civil engineering. He has gained more than 20 years of teaching and research experience. He has authored more than 70 peer-reviewed scientific publications in renowned international journals and conference proceedings, and has served as a co-editor of two recent books i.e. "Urban Hydrology, Watershed Management and Socio-Economic Aspects" and "Urban Ecology, Water Quality and Climate Change", both published by Springer, in 2016 and 2018, respectively. At the Indian Institute of Technology Guwahati, he has taught courses on subsurface hydrology, hydrology, optimization methods, water resources planning and management, among others. He has also been a visiting professor at other institutes, including the Dalhousie University, in Halifax, Canada and the Ecole Centrale Nantes, in France. Details ISBN 3030264572 ISBN-13 9783030264574 Title Nature-Inspired Methods for Metaheuristics Optimization Author Fouad Bennis, Rajib Kumar Bhattacharjya Format Hardcover Year 2020 Pages 502 Edition 1st Publisher Springer Nature Switzerland AG GE_Item_ID:160023039; 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: 162.51 USD

Location: Fairfield, Ohio

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Nature-Inspired Methods for Metaheuristics Optimization: Algorithms and Applicat

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9783030264574

Type: NA

Publication Name: NA

Book Title: Nature-Inspired Methods for Metaheuristics Optimization : Algorithms and Applications in Science and Engineering

Number of Pages: Xiii, 502 Pages

Language: English

Publisher: Springer International Publishing A&G

Publication Year: 2020

Topic: Intelligence (Ai) & Semantics, Operations Research, Management Science

Illustrator: Yes

Genre: Computers, Business & Economics

Item Weight: 41.1 Oz

Author: Rajib Kumar Bhattacharjya

Item Length: 9.3 in

Book Series: Modeling and Optimization in Science and Technologies Ser.

Item Width: 6.1 in

Format: Hardcover

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