Frontier Applications of Nature Inspired Computation

Mahdi Khosravy (Curatore)

Neeraj Gupta (Curatore)

Springer Verlag, Singapore, 2021

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.

• Curatore: Mahdi Khosravy, Neeraj Gupta
• Editore: Springer Verlag, Singapore
• Collana: Springer Tracts in Nature-Inspired Computing
• Anno: 2021
• Rilegatura: Paperback / softback
• Pagine: 389 p.
• Dimensioni: 235 x 155 mm
• EAN: 9789811521355

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