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Titlebook: Shortest Path Solvers. From Software to Wetware; Andrew Adamatzky Book 2018 Springer International Publishing AG, part of Springer Nature

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發(fā)表于 2025-3-21 19:22:14 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Shortest Path Solvers. From Software to Wetware
編輯Andrew Adamatzky
視頻videohttp://file.papertrans.cn/867/866756/866756.mp4
概述Comprehensively addresses the famous problem of shortest path solving in the context of computer science, network theory, operational systems, swarm robotics, and graph theory.Presents novel and uniqu
叢書名稱Emergence, Complexity and Computation
圖書封面Titlebook: Shortest Path Solvers. From Software to Wetware; Andrew Adamatzky Book 2018 Springer International Publishing AG, part of Springer Nature
描述.This book offers advanced parallel and distributed algorithms and experimental laboratory prototypes of unconventional shortest path solvers. In addition, it presents novel and unique algorithms of solving shortest problems in massively parallel cellular automaton machines. The shortest path problem is a fundamental and classical problem in graph theory and computer science and is frequently applied in the contexts of transport and logistics, telecommunication networks, virtual reality and gaming, geometry, and social networks analysis. Software implementations include distance-vector algorithms for distributed path computation in dynamics networks, parallel solutions of the constrained shortest path problem, and application of the shortest path solutions in gathering robotic swarms. Massively parallel algorithms utilise cellular automata, where a shortest path is computed either via matrix multiplication in automaton arrays, or via the representation of data graphs in automaton lattices and using the propagation of wave-like patterns. Unconventional shortest path solvers are presented in computer models of foraging behaviour and protoplasmic network optimisation by the slime moul
出版日期Book 2018
關(guān)鍵詞Unconventional Computing; Natural Computation; Evolutionary Algorithms; Genetic Programming; Bio-inspire
版次1
doihttps://doi.org/10.1007/978-3-319-77510-4
isbn_softcover978-3-030-08473-8
isbn_ebook978-3-319-77510-4Series ISSN 2194-7287 Series E-ISSN 2194-7295
issn_series 2194-7287
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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發(fā)表于 2025-3-21 22:28:18 | 只看該作者
Practical Algorithms for the All-Pairs Shortest Path Problem,vestigate the highly related all-pairs bottleneck paths problem, and give an efficient average case algorithm. On top of that, we show how the bottleneck paths problem relates to the decremental transitive closure problem, and specifically how algorithms for the latter can be used to solve the former.
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Shortest Path Finding in Mazes by Active and Passive Particles,rface tension driven phenomena at the air-liquid interface. We show that maze solving can be implemented by using: (i) active (self-propelled) droplets and/or (ii) passive particles (chemical entities).
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A Parallel Algorithm for the Constrained Shortest Path Problem on Lattice Graphs, shortest path whose total weight is smaller than a pre-determined value. In each step the processing elements are not analyzing the entire graph. Instead they are focusing on a subset of vertices called .. The set of active vertices at time . is related to the boundary of the ball . of radius . in
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發(fā)表于 2025-3-22 17:51:49 | 只看該作者
Gathering a Swarm of Robots Through Shortest Paths,nitially placed at different locations toward a common point. Robots move based on the so called Look-Compute-Move model. Each time a robot wakes up, it perceives the current configuration in terms of robots’ positions (Look), it decides whether and where to move (Compute), and makes the computed mo
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