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Frontier applications of nature insp...

Khosravy, Mahdi.

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Frontier applications of nature inspired computation

Record Type:	Electronic resources : Monograph/item
Title/Author:	Frontier applications of nature inspired computation/ edited by Mahdi Khosravy ... [et al.].
other author:	Khosravy, Mahdi.
Published:	Singapore :Springer Singapore : : 2020.,
Description:	xiii, 389 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Natural computation. -
Online resource:	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 ... [et al.]. - Singapore :Springer Singapore :2020. - xiii, 389 p. :ill., digital ;24 cm. - 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:

1002233
Natural computation.

LC Class. No.: QA76.9.N37 / F766 2020

Dewey Class. No.: 006.382

Frontier applications of nature inspired computation
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245 0 0 $a Frontier applications of nature inspired computation $h [electronic resource] / $c edited by Mahdi Khosravy ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a xiii, 389 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer tracts in nature-inspired computing, $x 2524-552X
505 0 $a 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.
520 $a 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.
650 0 $a Natural computation. $3 1002233
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 891007
650 2 4 $a Data Engineering. $3 3409361
650 2 4 $a Discrete Optimization. $3 2054320
650 2 4 $a Continuous Optimization. $3 1566748
700 1 $a Khosravy, Mahdi. $3 3450095
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Springer tracts in nature-inspired computing. $3 3443947
856 4 0 $u https://doi.org/10.1007/978-981-15-2133-1
950 $a Intelligent Technologies and Robotics (Springer-42732)