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Shortest Path Solvers. From Software to Wetware

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Cover of 'Shortest Path Solvers. From Software to Wetware'

Table of Contents

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    Book Overview
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    Chapter 1 A Parallel Algorithm for the Constrained Shortest Path Problem on Lattice Graphs
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    Chapter 2 Gathering a Swarm of Robots Through Shortest Paths
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    Chapter 3 The MinSum-MinHop and the MaxMin-MinHop Bicriteria Path Problems
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    Chapter 4 Distance-Vector Algorithms for Distributed Shortest Paths Computation in Dynamic Networks
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    Chapter 5 Influenza Virus Algorithm for Multiobjective Energy Reduction Open Vehicle Routing Problem
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    Chapter 6 Practical Algorithms for the All-Pairs Shortest Path Problem
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    Chapter 7 Computing Shortest Paths with Cellular Automata
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    Chapter 8 Cellular Automata Applications in Shortest Path Problem
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    Chapter 9 Checkerboard Pattern Formed by Cellular Automata Agents
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    Chapter 10 Do Ants Use Ant Colony Optimization?
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    Chapter 11 Slime Mould Inspired Models for Path Planning: Collective and Structural Approaches
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    Chapter 12 Physarum-Inspired Solutions to Network Optimization Problems
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    Chapter 13 Maze-Solving Cells
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    Chapter 14 When the path is never shortest: a reality check on shortest path biocomputation
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    Chapter 15 Shortest Path Finding in Mazes by Active and Passive Particles
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    Chapter 16 The Electron in the Maze
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    Chapter 17 Maze Solvers Demystified and Some Other Thoughts
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Title
Shortest Path Solvers. From Software to Wetware
Published by
Springer International Publishing, May 2018
DOI 10.1007/978-3-319-77510-4
ISBNs
978-3-31-977509-8, 978-3-31-977510-4
Editors

Adamatzky, Andrew

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X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Student > Master 2 29%
Unknown 2 29%
Readers by discipline Count As %
Engineering 3 43%
Unknown 4 57%