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Nature-Inspired Computation in Navigation and Routing Problems

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Cover of 'Nature-Inspired Computation in Navigation and Routing Problems'

Table of Contents

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    Book Overview
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    Chapter 1 Navigation, Routing and Nature-Inspired Optimization
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    Chapter 2 Navigation and Navigation Algorithms
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    Chapter 3 Is the Vehicle Routing Problem Dead? An Overview Through Bioinspired Perspective and a Prospect of Opportunities
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    Chapter 4 Review of Tour Generation for Solving Traveling Salesman Problems
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    Chapter 5 Flow Shop Scheduling By Nature-Inspired Algorithms
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    Chapter 6 Mobile Robot Path Planning Using a Flower Pollination Algorithm-Based Approach
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    Chapter 7 Smartphone Indoor Localization Using Bio-inspired Modeling
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    Chapter 8 A New Obstacle Avoidance Technique Based on the Directional Bat Algorithm for Path Planning and Navigation of Autonomous Overhead Traveling Cranes
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    Chapter 9 Natural Heuristic Methods for Underwater Vehicle Path Planning
Attention for Chapter 9: Natural Heuristic Methods for Underwater Vehicle Path Planning
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Chapter title
Natural Heuristic Methods for Underwater Vehicle Path Planning
Chapter number 9
Book title
Nature-Inspired Computation in Navigation and Routing Problems
Published by
Springer, Singapore, January 2020
DOI 10.1007/978-981-15-1842-3_9
Book ISBNs
978-9-81-151841-6, 978-9-81-151842-3
Authors

Yu-Xin Zhao, De-Quan Yang

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