Search Results - (( _ evaluation ((path algorithm) OR (bat algorithm)) ) OR ( based information based algorithm ))
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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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A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments
Published 2013“…The motion planning problem poses the question of how a robot can move from an initial to a final position. Sampling-based motion planning is a class of randomized path planning algorithms with proven completeness. …”
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Thesis -
3
Review of Multi-Objective Swarm Intelligence Optimization Algorithms
Published 2021“…In this paper, the status of MOO research and state-of-the-art MOSI algorithms namely, multi-objective particle swarm, artificial bee colony, firefly algorithm, bat algorithm, gravitational search algorithm, grey wolf optimizer, bacterial foraging and moth-flame optimization algorithms have been reviewed. …”
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Wide area measurement system in the IEEE-14 bus system using multiobjective shortest path algorithm for fault analysis
Published 2021“…To evaluate the performance of the multi-objective shortest path algorithm, all sections of the IEEE-14 bus system were simulated with faults. …”
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Taguchi's T-method with nearest integer-based binary bat algorithm for prediction
Published 2023“…In this paper, a swarm-based binary bat optimization algorithm with a nearest integer discretization approach is integrated with the Taguchi�s T-method. …”
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Vision-based robot indoor navigation
Published 2022“…A navigation robot is built to test the workability and efficiency of the algorithms. In general, the algorithm can provide the nearest path to navigate around the environment without manual assistance. …”
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Final Year Project / Dissertation / Thesis -
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The Hybrid of WOABAT-IFDO Optimization Algorithm and Its Application in Crowd Evacuation Simulation
Published 2023“…This paper proposes a new hybrid of nature inspired optimization algorithm (IFDO-WOABAT) based on the latest optimization algorithm namely Improved Fitness Dependent Optimization (IFDO) with Whale-Bat Optimization algorithm (WOABAT). …”
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Proceeding -
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A Novel Polytope Algorithm based on Nelder-mead method for localization in wireless sensor network
Published 2024“…Results: Simulation results perfectly showed that the suggested localization algorithm based on NMM can carry out a better performance than that of other localization algorithms utilizing other op- timization approaches, including a particle swarm optimization, ant colony (ACO) and bat algorithm (BA). …”
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Workload performance evaluation of large spatial database for DSS based disaster management
Published 2017“…Data recorded in the shortest path analysis process reveals that the evaluation and the prediction on workload performance of shortest path analysis using Dijkstra algorithm has been well implemented. …”
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10
Wormhole attack detection mechanism in mobile ad hoc network using neighborhood information and path tracing algorithm
Published 2015“…In this study, a new defence mechanism is proposed based on modification of the packet forwarding process, using Neighborhood Information (NI) and PT algorithm, and known as NIPT algorithm. …”
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An enhancement of path selection to cluster head based on multi-hop routing in two-tier wireless sensor network
Published 2019“…The element of Shortest Path First (SPF) Algorithm that is used in a routing protocol will be implemented. …”
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Accurate range free localization in multi-hop wireless sensor networks
Published 2019“…In addition, energy-based informant localization approaches are generally established corresponding to the channel path-loss models in which the noise is mostly expected to shadow Gaussian distributions. …”
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A test case generation framework based on UML statechart diagram
Published 2018“…They are relation table, relation graph, consistency checking, test path minimization, test path prioritization, path pruning, test path generation, and test case generation. …”
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14
Adaptive Algorithm for Optimal Route Configuration in Multi-Hop Wireless Sensor Network
Published 2017“…The obtained results show that the proposed algorithm provides an optimal route configuration with the best performance in terms of evaluating the covered distance, packet loss and time delay.…”
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15
Steganography based on utilizing more surrounding pixels
Published 2010“…The imperceptibility measures used for evaluation are called peak signal to noise ratio (PSNR), Watson metric and Universal quality index (Q). …”
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16
A Fuzzy Logic Positional-Based Controller For Sensorbased Robotic Motion Planning
Published 2023“…Despite the large volume of research in this field, the computational complexity of the motion planning and the increasing potential application domains require more accurate and efficient motion planning algorithms. In this paper, a novel positional-based motion controller is proposed which requires very little amount of information from the robot�s sensory system. …”
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Bat optimized link state routing protocol for energy-aware mobile ad-hoc networks
Published 2023“…The symmetry between OLSR of MANET and Bat Algorithm (BA) is that both of them use the same mechanism for finding the path via sending and receiving specific signals. …”
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GSAR: Greedy Stand-Alone Position-Based Routing protocol to avoid hole problem occurance in Mobile Ad Hoc Networks
Published 2014“…The Greedy Forwarding Strategy (GFS) has been the most used strategy in position-based routing protocols. The GFS algorithm was designed as a high-performance protocol that adopts hop count in soliciting shortest path. …”
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Thesis -
20
Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module
Published 2023“…This algorithm has been tested and implemented successfully via a dual-beam optical scanning module. � 2006 Asian Network for Scientific Information.…”
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