Search Results - (( cost function path algorithm ) OR ( parallel optimization sensor algorithm ))
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1
The Development Of A Robust Algorithm For Uav Path Planning In 3d Environment
Published 2016“…However, the performance of most of these algorithms tend to decline in terms of function and computational cost when dealing with robust systems. …”
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2
A generalized laser simulator algorithm for optimal path planning in constraints environment
Published 2022“…The suggested algorithm outperforms the competition in terms of improving path cost, smoothness, and search time. …”
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3
On network flow problems with convex cost
Published 2004“…The proposed algorithm minimises the total cost of flow by incrementing the network flow along augmenting paths of minimum cost. …”
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4
Particle swarm optimization approach in route navigation for PoSVI-Cane
Published 2023“…The cost of path at the optimal route is 823 at 40 iterations. …”
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5
Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed
Published 2017“…The whole constraint analyzer and the fitness function were combined with four SBTs (genetic algorithm, evolutionary algorithm, simulating annealing, and quantum genetic algorithm). …”
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6
Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…Stereo vision sensor consists of two stereo cameras, mounted parallel in stationary position. …”
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7
Development Of Generative Computer-Aided Process Planning System For Lathe Machining
Published 2019“…Indeed, the developed algorithm was able to determine the minimum unit production cost of lathe machining part model. …”
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8
Implementation of vision-assisted path planning system for bulk die sorting in semiconductor industry
Published 2018“…Then, die classification is performed to obtain the positions of functional and non-functional dies. Subsequently, point and coverage path planning algorithms are applied to determine the optimum path for physical die sorting operation. …”
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9
Single-objective and multi-objective optimization algorithms based on sperm fertilization procedure / Hisham Ahmad Theeb Shehadeh
Published 2018“…The obtained results are compared with the results of four algorithms. These algorithms are Genetic Algorithms (GA), Parallel Genetic Algorithm (PGA), Particle Swarm Optimization (PSO) and Accelerated Particle Swarm Optimization (APSO). …”
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10
Implementation of vision-assisted path planning system for bulk die sorting in semiconductor industry
Published 2018“…Then, die classification is performed to obtain the positions of functional and non-functional dies. Subsequently, point and coverage path planning algorithms are applied to determine the optimum path for physical die sorting operation. …”
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11
Performance monitoring algorithm for optimizing electrical power generated by using photovoltaic system
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12
Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…In the benchmarking of the SKF and ssSKF algorithms’ performance in solving the 14-hole PCB drill path optimization case study with recent implementations, on average, both algorithms show the ability to converge to the optimal solution at a smaller number of function evaluations compared to the Gravitational Search Algorithm (GSA), Cuckoo Search (CS), and Intelligent Water Drop (IWD), although fall-short to the Taguchi- Genetic Algorithm optimization algorithm.…”
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13
Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms
Published 2020“…The objective functions are loss of load probability (LLP) and life cycle cost (LCC) and levelized cost of energy (LCE). …”
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14
Power line corridor vegetation encroachment detection from satellite images using retinanet and support vector machine
Published 2023“…A routing algorithm has been developed to create a routing path between all transmission towers in the image, which helps identify the power line path. …”
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An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion
Published 2018“…Therefore, it is mandatory to test all possible functional paths of the software exhaustively. Exhaustive testing is costly and time consuming and with the higher number of inputs, the number of test cases increases exponentially. …”
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16
Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation
Published 2017“…Especially their velocities, uncertainty, cost function to be improved, and the robot’s dynamic and kinematic model, This research focuses on the existing drawbacks and inefficiencies of the available path planning approaches within unknown dynamic environments. …”
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17
Energy balancing mechanisms for decentralized routing protocols in wireless sensor networks
Published 2012“…It is based on Ant Colony Optimization (ACO) meta heuristic, which is adopted to enhance the paths with the best-quality function. The assessment of this function depends on multi-criteria metrics such as the minimum residual battery power, hop count, average energy of the route and average energy of the network. …”
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18
Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems
Published 2014“…The algorithm generates an integrated scheduling and detail paths route while optimizing makespan, AGV travel time, mean flow time and penalty cost due to jobs tardiness and delay as a result of conflict avoidance. …”
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19
Electricity distribution network for low and medium voltages based on evolutionary approach optimization
Published 2015“…The result shows that the proposed algorithm is more cost effective and has lower power losses compare to the IEEE standard case. …”
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Controller placement problem in the optimization of 5G based SDN and NFV architecture
Published 2021“…Integrating Software Defined Networking (SDN) with Network Function Virtualization (NFV) is a low-cost way to build a reconfigurable network, reduce operating costs, and optimize network performance. …”
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