Search Results - ((((graph algorithm) OR (path algorithm))) OR (bat algorithm))
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1
A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots
Published 2022“…Classical or traditional methods, such as Roadmaps (Visibility Graph and Voronoi Diagram), Potential Fields, and Cell Decomposition, and modern methodologies such as heuristic-based (Dijkstra Method, A* Algorithms, and D* Algorithms), metaheuristics algorithms (such as PSO, Bat Algorithm, ACO, and Genetic Algorithm), and neural systems such as fuzzy neural networks or fuzzy logic (FL) and Artificial Neural Networks (ANN) are described in this report. …”
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2
Optimal path planning algorithm for swarm robots using bat algorithm with mutation (bam)
Published 2022“…The current research in robot navigation is to implement an obstacle avoidance algorithm to a single mobile robot to realize the path planning of a mobile robot. …”
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Undergraduates Project Papers -
3
Solving the minimum dominating set problem of partitioned graphs using a hybrid bat algorithm
Published 2020“…This paper investigates the swarm intelligence behaviour represented by a population-based approach called the bat algorithm (BA) to find the smallest set of nodes that dominate the graph. …”
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4
An Edge-Wise Linear Shortest Path Algorithm for Non-Negative Weighted Undirected Graphs
Published 2010“…This paper concentrates on this very idea and presents an algorithm for calculating shortest path for nonnegative weighted undirected graphs. …”
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Conference or Workshop Item -
5
Graph processing hardware accelerator for shortest path algorithms in nanometer very large-scale integration interconnect routing
Published 2007“…It has been shown that the performance of a graph-based shortest path algorithm can severely be affected by the performance of its priority queue. …”
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6
A O(|E|) Time Shortest Path Algorithm for Non-Negative Weighted Undirected Graphs
Published 2010“…This paper concentrates on this very idea and presents an algorithms for calculating shortest path for (i) nonnegative weighted undirected graphs (ii) unweighted undirected graphs. …”
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7
Hybrid bat algorithm for minimum dominating set problem
Published 2017“…In this paper, the stochastic search represented by hybrid swarm intelligence algorithm to find the smallest set of nodes that dominate the graph. …”
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8
IMPLEMENTATION OF GRAPH BASED PATH PLANNING ALGORITHMS FOR INDOOR NAVIGATION
Published 2018“…In which the obstacles, start node and target node will be known in advance of starting the path planning algorithms. Based on the results of MATLAB simulation, the A* algorithm is the best algorithm in finding the shortest path with the least time taken. …”
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Final Year Project -
9
Two Phase Shortest Path Algorithm for Non-Negative Undirected Graphs
Published 2010“…Breadth First Search (BFS) can calculate the shortest path for un-weighted graphs very efficiently but when it comes to non-negative weighted graphs it fails at a point when a successor updates a predecessor. …”
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Conference or Workshop Item -
10
A hybrid algorithm for finding shortest path in network routing.
Published 2009“…This wave gives an O( N ) steps quantum algorithm for identifying that record, where was used classical Dijkstra’s algorithm for finding shortest path problem in the graph of network and implement quantum search. …”
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11
Design and development of optimal path trace back using graph theory technique for accelerate DNA sequence alignment accelerator: article
Published 2010“…The Smith-Waterman is been simplified into four modules which were initialization, score calculation, matrix filling and optimal path. The scope of the paper based on optimal path trace back using graph theory. …”
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12
Path Optimization For Cooperative Multi-Head 3d Printing
Published 2020“…The performance of the two proposed algorithms is compared against Cura, which is a commonly used software for generating the nozzle path. …”
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Final Year Project / Dissertation / Thesis -
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Implementation of Graph Based Path Planning Algorithms on a Mobile Robot in a Confined Site
Published 2017“…This project investigates the performance of three different graph based path planning algorithms used, relaxed A*, A* and Dijkstra’s algorithm in a few environments with different obstacles settings using Gazebo environment simulator and Turtlebot simulator (computer simulation) and 4WD navigation robot (real environment simulation).…”
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Final Year Project -
14
Design and development of optimal path trace back using graph theory technique for accelerate DNA sequence alignment accelerator
Published 2010“…The Smith-Waterman is been simplified into four modules which were initialization, score calculation, matrix filling and optimal path. The scope of the paper based on optimal path trace back using graph theory. …”
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Student Project -
15
Revolutionizing crowd safety: A breakthrough hybrid whale-bat chaotic algorithm (WOABCM) for optimized evacuation simulations
Published 2024“…The Whale-Bat Chaotic Algorithm (WOABCM) is a revolutionary tool for optimizing pathfinding navigation in crowd evacuation scenarios. …”
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16
Bat Algorithm for Complex Event Pattern Detection in Sentiment Analysis
Published 2021“…This algorithm mainly based on the echolocation behavior of bats. …”
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Monograph -
17
FROM IMAGE TO GRAPH-BASED DATA FOR PATH PLANNING
Published 2019“…This implementation of graph traversal, statistics and machine learning algorithms were a challenging part to be done. …”
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Final Year Project -
18
Guidance system based on Dijkstra-ant colony algorithm with binary search tree for indoor parking system
Published 2021“…A common algorithm to solve the single-source shortest path (SSSP) is the Dijkstra algorithm. …”
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19
Synthesis of transistor-chaining algorithm for CMOS cell layout using bipartite graph / Azizi Misnan
Published 1997“…The result will be compared with euler's path algorithm using heuristic search and a pseudo input to find the minimum interlace.…”
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Thesis -
20
Attack graph construction for enhancing intrusion prediction based on vulnerabilities metrics
Published 2023“…This study employs use Random Forest algorithm to identify and forecast attacks to dynamically locate the attack location in the network for attack graph analysis. …”
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