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Frontier Applications of Nature Inspired Computation

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Frontier Applications of Nature Inspired Computation/ edited by Mahdi Khosravy, Neeraj Gupta, Nilesh Patel, Tomonobu Senjyu.
其他作者:	Senjyu, Tomonobu.
面頁冊數:	XIII, 389 p. 194 illus., 138 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Continuous Optimization. -
電子資源:	https://doi.org/10.1007/978-981-15-2133-1
ISBN:	9789811521331

Frontier Applications of Nature Inspired Computation
Frontier Applications of Nature Inspired Computation[electronic resource] /edited by Mahdi Khosravy, Neeraj Gupta, Nilesh Patel, Tomonobu Senjyu. - 1st ed. 2020. - XIII, 389 p. 194 illus., 138 illus. in color.online resource. - Springer Tracts in Nature-Inspired Computing,2524-552X. - Springer Tracts in Nature-Inspired Computing,.

Nature-inspired Metaheuristic Optimization: Recent Advances and Applications -- Prediction in Nature Inspired Dynamic Optimization -- Plants Genetics Inspired Evolutionary Optimization: A Descriptive Tutorial -- Trends on fitness landscape analysis in evolutionary computation and meta-heuristics -- Lion Algorithm and its Applications -- A self-adaptive nature-inspired procedure for solving the quadratic assignment problem.

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.

ISBN: 9789811521331

Standard No.: 10.1007/978-981-15-2133-1doiSubjects--Topical Terms:

888956
Continuous Optimization.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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