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Title
Frontier applications of nature inspired computation / Mahdi Khosravy, Neeraj Gupta, Nilesh Patel, Tomonobu Senjyu, editors.
ISBN
9789811521331 (electronic book)
9811521336 (electronic book)
9811521328
9789811521324
Published
Singapore : Springer, [2020]
Copyright
©2020
Language
English
Description
1 online resource.
Call Number
QA76.9.N37
Dewey Decimal Classification
006.3/82
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 8, 2020).
Series
Springer tracts in nature-inspired computing.
Available in Other Form
Print version: 9789811521324
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.
