Search Results - (( java simulation optimization algorithm ) OR ( cost detection path algorithm ))
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1
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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2
Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed
Published 2017“…The results show that the proposed infeasible path detection method was efficient and detect 99 percent of the infeasible paths in the three industrial systems. …”
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3
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. …”
text::Thesis -
4
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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5
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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6
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Monograph -
7
Comprehensive review of drones collision avoidance schemes: challenges and open issues
Published 2024“…We explore collision avoidance methods for UAVs from various perspectives, categorizing them into four main groups: obstacle detection and avoidance, collision avoidance algorithms, drone swarm, and path optimization. …”
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8
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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9
Test case minimization applying firefly algorithm
Published 2018“…The proposed test case minimization method has the following steps: provide weight to the paths, calculate path coverage for each path, transform an immediate graph into an adjacency matrix, which later is used to apply firefly algorithm and generate optimal test cases. …”
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10
OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
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A noble approach of ACO algorithm for WSN
Published 2018“…Using the proposed ACO algorithm and considering both the node mobility and the existing energy of the nodes, an optimum route and best cost from the originating node to the target node can be detected. …”
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Proceeding Paper -
12
A Feasible Architecture Of Real-Time Collision Avoidance And Path Planning For Semi-Autonomous Unmanned Ground Vehicle (Ugv)
Published 2018“…In this project, the UGV combines two main elements, which are collision avoidance system (CAS) and path planning system (PPS). Costing is highly concerned for this project, therefore a low-cost ultrasonic sensor (HC�SR04) is used as a distance sensor for obstacle detection and avoidance purpose. …”
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Monograph -
13
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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14
Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…The average percentage of fault detection per cost (APFDc) metric was employed to measure the average cost per severity detection. …”
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15
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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16
Resource management in grid computing using ant colony optimization
Published 2011“…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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Monograph -
17
Development of obstable avoidance system for 3D robot navigation
Published 2024“…The voxel layer in the layered cost map provided in Nav2 was utilized to detect the 3D obstacles that cannot be detected by 2D LiDAR. …”
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Final Year Project / Dissertation / Thesis -
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Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter
Published 2019“…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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19
The shortest route of the potential companies for internship using Dijkstra’s Algorithm / Mohamad Khairul Ikhwan Mohd Radzi
Published 2017“…However, for optimum distance, dijkstra algorithm has been used. This algorithm is one of the algorithms used for getting the lowest cost search path. …”
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20
A novel bio-inspired routing algorithm based on ACO for WSNs
Published 2019“…The proposed algorithm has been simulated and verified using MATLAB and the simulation results demonstrate that new ACO based algorithm achieved improved performance, about 30% improvement compared with the traditional ACO algorithm, and faster convergence to determine the best cost route, and recorded an improvement in the energy consumption of the nodes per transmission.…”
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