Frontier Applications of Nature Inspired Computation (1st ed. 2020) (Springer Tracts in Nature-Inspired Computing)
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- Synopsis
- This book addresses the frontier advances in the theory and application of nature-inspired optimization techniques, including solving the quadratic assignment problem, prediction in nature-inspired dynamic optimization, the lion algorithm and its applications, optimizing the operation scheduling of microgrids, PID controllers for two-legged robots, optimizing crane operating times, planning electrical energy distribution systems, automatic design and evaluation of classification pipelines, and optimizing wind-energy power generation plants. The book also presents a variety of nature-inspired methods and illustrates methods of adapting these to said applications. Nature-inspired computation, developed by mimicking natural phenomena, makes a significant contribution toward the solution of non-convex optimization problems that normal mathematical optimizers fail to solve. As such, a wide range of nature-inspired computing approaches has been used in multidisciplinary engineering applications. Written by researchers and developers from a variety of fields, this book presents the latest findings, novel techniques and pioneering applications.
- Copyright:
- 2020
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9789811521331
- Related ISBNs:
- 9789811521324
- Publisher:
- Springer Singapore, Singapore
- Date of Addition:
- 05/26/20
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Mahdi Khosravy
- Edited by:
- Neeraj Gupta
- Edited by:
- Nilesh Patel
- Edited by:
- Tomonobu Senjyu
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- by Neeraj Gupta
- by Tomonobu Senjyu
- by Mahdi Khosravy
- by Nilesh Patel
- in Nonfiction
- in Computers and Internet
- in Technology
- in Mathematics and Statistics