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Frontier Applications of Nature Inspired Computation (1st ed. 2020)

Gupta, Neeraj(Edited by)Khosravy, Mahdi(Edited by)Patel, Nilesh(Edited by)Senjyu, Tomonobu(Edited by)
Part of the Springer Tracts in Nature-Inspired Computing series
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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.

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Product Details
Springer Verlag, Singapore
9811521352 / 9789811521355
Paperback / softback
12/03/2021
Singapore
389 pages, 138 Illustrations, color; 56 Illustrations, black and white; XIII, 389 p. 194 illus., 138
155 x 235 mm