Search Results - (( probable optimization method algorithm ) OR ( mobile evaluation path algorithm ))
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Performance comparison between genetic algorithm and ant colony optimization algorithm for mobile robot path planning in global static environment / Nohaidda Sariff
Published 2011“…Due to the importance of global path planning in mobile robot navigation systems, the research presented herewith focused on the optimization problem of path planning for mobile robots. …”
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Cognitive map approach for mobility path optimization using multiple objectives genetic algorithm
Published 2023Subjects:Conference Paper -
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Mobile robot navigation using GPS to solve target location achieving problem / Saiful Zaimy Yahaya, Rozan Boudville and Mohamad Faizal Abdul Rahman
Published 2010“…The short distance test has been made to evaluate the mobile robot path finding performance. …”
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Research Reports -
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A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots
Published 2022“…The following review analyses and compares 200 articles from two databases, Scopus and IEEE Xplore, and selects 60 articles as references from those articles. This evaluation focuses mostly on the accuracy of the different path-planning algorithms. …”
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AUTOMATED GUIDED ROBOT (AGR)
Published 2007“…Compared to manual mobile robots, AGRs require sensors and control systems that generate feedback for the re-evaluation of an unexpected situation and to detect obstacles in the path the AGR is required to follow. …”
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VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern
Published 2012“…These two models are based on topological placement method. DM is optimized using genetic algorithm (GA). …”
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Autonomous mobile robots path planning with integrative edge cloud-based ant colony optimization
Published 2025“…In recent years, Automated Mobile Robots (AMRs) have gained significant attention in industry and research applications, requiring efficient path-planning algorithms to optimize task performance. …”
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Solving the optimal path planning of a mobile robot using improved Q-learning
Published 2019“…Additionally, the effectiveness of the proposed algorithm is validated in a real-world experiment using a three-wheeled mobile robot.…”
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A comparative study on ant-colony algorithm and genetic algorithm for mobile robot planning.
Published 2024“…Focusing on routing optimization, the study evaluates Ant-Colony Optimization (ACO) and Genetic Algorithm (GA) in Mobile Robot Planning. …”
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Conference or Workshop Item -
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Artificial Bee Colony for Minimizing the Energy Consumption in Mobile Ad Hoc Network
Published 2019“…Wireless ad hoc network is widely used nowadays, in particular the mobile type, known as the mobile ad hoc network (MANET). …”
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A coverage path planning approach for autonomous radiation mapping with a mobile robot
Published 2023Article -
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Wormhole attack detection mechanism in mobile ad hoc network using neighborhood information and path tracing algorithm
Published 2015“…This algorithm is good for MANET as they not have centralized management and autonomous mobile nodes connect with each other through the air. …”
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Thesis -
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Tree-based contrast subspace mining method
Published 2020“…Hence, this thesis presents the optimization of parameters values for the tree-based method by genetic algorithm. …”
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A proposed genetic algorithm to optimize service restoration in electrical networks with respect to the probability of transformers failure
Published 2010“…In many researches a Genetic Algorithm is employed as a powerful tool to solve this multi-objective, multi-constraint optimization problem. …”
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Design And Development Of Collision Avoidance Strategy For Differential Drive Mobile Robot
Published 2018“…In order to evaluate the performance of the proposed methods, a MATLAB Graphical User Interface (GUI) is created to plot the targeted and real path of the robot. …”
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Monograph -
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Performance evaluation of LTE scheduling techniques for heterogeneous traffic and different mobility scenarios
Published 2015“…Results indicate that the scheduling algorithms showed some quality in certain parameter of evaluation but lack in other terms. …”
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