Search Results - (( using iterative path algorithm ) OR ( evolution optimization sensor algorithm ))
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1
Repetitive mutations in genetic algorithm for software test data generations
Published 2022“…One of the white box testing techniques is path coverage testing. Genetic Algorithm (GA) has proven to be an important method in generating test data for automatic path coverage testing. …”
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Thesis -
2
Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment
Published 2021“…In the past, fast iterative methods that apply the use of full-sweep iteration were suggested. …”
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3
Robot path planning using family of SOR iterative methods with laplacian behaviour-based control
Published 2015“…Therefore, this study introduces the concepts of half-sweep and quarter-sweep iterations, and initiates the first application of using family of Point SOR and family of Four Point-Block SOR iterative methods for computing the Laplacian potentials to solve the path planning problem. …”
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4
Hybrid path planning for indoor robot with Laplacian Behaviour-based control via four point-explicit group
Published 2014“…Consequently, the gradient of the potential functions would be used by the searching algorithm to generate path from starting to goal location. …”
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5
Cluster head selection optimization in wireless sensor network via genetic-based evolutionary algorithm
Published 2020“…Genetic-based evolutionary algorithms such as Genetic Algorithm (GA) and Differential Evolution (DE) have been popularly used to optimize cluster head selection in WSN to improve energy efficiency for the extension of network lifetime. …”
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6
Modelling of multi-robot system for search and rescue
Published 2023“…The MPSO algorithm introduces a new path planning scheme for determining robot’s waypoints. …”
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Final Year Project / Dissertation / Thesis -
7
Autonomous path planning through application of rotated two-parameter overrelaxation 9-point Laplacian iteration technique
Published 2020“…The harmonic functions are an appropriate method to be used on autonomous path planning because it satisfies the min-max principle, therefore avoiding the occurrence of local minima which traps robot’s movements, and that it offers complete path planning algorithm. …”
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A centralized localization algorithm for prolonging the lifetime of wireless sensor networks using particle swarm optimization in the existence of obstacles
Published 2017“…In a previous research, a relocating algorithm for mobile sensor network had been introduced and the goal was to save energy and prolong the lifetime of the sensor networks using Particle Swarm Optimization (PSO) where both of sensing radius and travelled distance had been optimized in order to save energy in long-term and shortterm. …”
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9
SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing
Published 2019“…This work uses iterative smoothing algorithm to find an alternative path with less distance and energy consumption. …”
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Evaluation of robot path planning algorithms in global static environments: genetic algorithm vs ant colony optimization algorithm / Nohaidda Sariff and Norlida Buniyamin
Published 2010“…Performances between both algorithms were compared and evaluated in terms of speed and number of iterations that each algorithm takes to find an optimal path within several selected environments. …”
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12
Image Fusion for Travel Time Tomography Inversion
Published 2015“…Firstly, the shortest path method and the linear travel time interpolation were used for forward calculation; then combined the improved Wilkinson iteration method with super relaxation precondition method to reduce the condition number of matrix and accelerate iterative speed, the precise integration method was used to solve the inverse matrix more precisely in tomography inversion process; finally, use wavelet transform for image fusion, obtain the final image. …”
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13
Energy efficient path-planning for unmanned aerial vehicle
Published 2022“…The proposed path planning algorithm is called Iterative Elliptical- Convex Visibility Graph (IECoVG) which is based on visibility graph (VG) and Dijkstra’s algorithm. …”
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Thesis -
14
Reducing Iteration Using Candidate List
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Conference or Workshop Item -
15
Applying Firefly Algorithm in Finding Optimized Path in PCB Holes Drilling Process
Published 2011“…In order to minimize the distance traveled by the drill bit, Firefly Algorithm can be used. The proposed model applies Firefly Algorithm to search for the optimized path in PCB holes drilling process. …”
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Proceeding -
16
Design, optimization and fabrication of a climbing six articulated-wheeled robot using artificial evolution and 3D printing
Published 2015“…In this research, an artificial evolution approach utilizing Single-Objective Evolutionary Algorithm (SOEA) and Multi-Objective Evolutionary Algorithm (MOEA) respectively are investigated in the automatic design and optimization of the morphology of a Six Articulated-Wheeled Robot (SAWR) with climbing ability. …”
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17
An application of Floyd-Warshall Algortihm in finding shortest path of order picker in warehouse / Saidatul Aisyah Roslan, Siti Norhakimah Mohd Yatim and Siti Sarah Sulaiman
Published 2019“…For the result, shortest path for the order pickers in iterations. The algorithm used can help the order picker to have the shortest path, but it have no direct path. …”
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Student Project -
18
An improved gbln-pso algorithm for indoor localization problem in wireless sensor network
Published 2022“…Then, we compared the result with Particle Swarm Optimization (PSO), Differential Evolution Particle Swarm Optimization (DEPSO), Health Particle Swarm Optimization (HPSO) and Global best Local Neigborhood Particle Swarm Optimization (GbLN-PSO) algorithm. …”
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19
Solving Nonlinear Algebraic Problem Using Newton Homotopy Differential Equation
Published 2011“…An ordinary differential equation based on Newton homotopy is used for following the solution path. Our homotop algorithm is much more efficient than the conventional iterations type algorithms. …”
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Revolutionizing crowd safety: A breakthrough hybrid whale-bat chaotic algorithm (WOABCM) for optimized evacuation simulations
Published 2024“…This groundbreaking approach to crowd evacuation simulation demonstrates how chaos theory-inspired algorithms can be used to solve practical problems.…”
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