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Nature-inspired computation in navig...

Yang, Xin-She.

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Nature-inspired computation in navigation and routing problems = algorithms, methods and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Nature-inspired computation in navigation and routing problems/ edited by Xin-She Yang, Yu-Xin Zhao.
其他題名:	algorithms, methods and applications /
其他作者:	Yang, Xin-She.
出版者:	Singapore :Springer Singapore : : 2020.,
面頁冊數:	xi, 222 p. :ill., digital ;24 cm.
內容註:	Navigation, Routing and Nature-Inspired Computation -- Navigation and Navigation Algorithms -- Is Vehicle Routing Problem Dead? Review of Vehicle Routing Problems from a Nature-Inspired Perspective -- Travelling Salesman Problem: Resolution Layers -- Flow Shop Scheduling by Nature-Inspired Algorithms -- Mobile Robot Path Planning by Flower Pollination Algorithm -- Smartphone Indoor Localization Using Bio-Inspired Modeling -- A New Obstacle Avoidance Technique - Travelling Cranes -- Natural Heuristic Methods for Under Water Vehicle Path Planning.
Contained By:	Springer eBooks
標題:	Natural computation. -
電子資源:	https://doi.org/10.1007/978-981-15-1842-3
ISBN:	9789811518423

Nature-inspired computation in navigation and routing problems = algorithms, methods and applications /
Nature-inspired computation in navigation and routing problemsalgorithms, methods and applications /[electronic resource] :edited by Xin-She Yang, Yu-Xin Zhao. - Singapore :Springer Singapore :2020. - xi, 222 p. :ill., digital ;24 cm. - Springer tracts in nature-inspired computing,2524-552X. - Springer tracts in nature-inspired computing..

Navigation, Routing and Nature-Inspired Computation -- Navigation and Navigation Algorithms -- Is Vehicle Routing Problem Dead? Review of Vehicle Routing Problems from a Nature-Inspired Perspective -- Travelling Salesman Problem: Resolution Layers -- Flow Shop Scheduling by Nature-Inspired Algorithms -- Mobile Robot Path Planning by Flower Pollination Algorithm -- Smartphone Indoor Localization Using Bio-Inspired Modeling -- A New Obstacle Avoidance Technique - Travelling Cranes -- Natural Heuristic Methods for Under Water Vehicle Path Planning.

This book discusses all the major nature-inspired algorithms with a focus on their application in the context of solving navigation and routing problems. It also reviews the approximation methods and recent nature-inspired approaches for practical navigation, and compares these methods with traditional algorithms to validate the approach for the case studies discussed. Further, it examines the design of alternative solutions using nature-inspired techniques, and explores the challenges of navigation and routing problems and nature-inspired metaheuristic approaches.

ISBN: 9789811518423

Standard No.: 10.1007/978-981-15-1842-3doiSubjects--Topical Terms:

1002233
Natural computation.

LC Class. No.: QA76.9.N37 / N388 2020

Dewey Class. No.: 006.382

Nature-inspired computation in navigation and routing problems = algorithms, methods and applications /
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505 0 $a Navigation, Routing and Nature-Inspired Computation -- Navigation and Navigation Algorithms -- Is Vehicle Routing Problem Dead? Review of Vehicle Routing Problems from a Nature-Inspired Perspective -- Travelling Salesman Problem: Resolution Layers -- Flow Shop Scheduling by Nature-Inspired Algorithms -- Mobile Robot Path Planning by Flower Pollination Algorithm -- Smartphone Indoor Localization Using Bio-Inspired Modeling -- A New Obstacle Avoidance Technique - Travelling Cranes -- Natural Heuristic Methods for Under Water Vehicle Path Planning.
520 $a This book discusses all the major nature-inspired algorithms with a focus on their application in the context of solving navigation and routing problems. It also reviews the approximation methods and recent nature-inspired approaches for practical navigation, and compares these methods with traditional algorithms to validate the approach for the case studies discussed. Further, it examines the design of alternative solutions using nature-inspired techniques, and explores the challenges of navigation and routing problems and nature-inspired metaheuristic approaches.
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