Search Results - (( based optimization sensor algorithm ) OR ( software optimization path algorithm ))
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1
A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network
Published 2023“…Compared to the Ant Colony Optimization-Genetic Algorithm (ACO-GA) and Ant Colony Optimization- Hierarchical Clustering Mechanism (ACOHCM), the ACO algorithm shows superior power savings and efficiency. …”
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Thesis -
2
Metaheuristic optimization techniques for localization in outdoor wireless sensor networks: a comprehensive review
Published 2025“…The primary objective of this paper isto review localization algorithms based on metaheuristic optimization techniques to improve localization accuracy. …”
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3
A Feasible Architecture Of Real-Time Collision Avoidance And Path Planning For Semi-Autonomous Unmanned Ground Vehicle (Ugv)
Published 2018“…Meanwhile, an Arduino Mega 2560 and ArduPilot Mega 2.6 (APM) are used as microcontrollers for obstacle avoidance and path optimization purpose respectively. Vehicle navigation is based on point-to-point basis and the waypoints are set in Mission Planner software that works alongside APM. …”
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Monograph -
4
A Development Of An Internet Of Things Equipped Unmanned Ground Vehicle For Surveilance Purpose
Published 2019“…Meanwhile, an Arduino Mega 2560 (Controller) is used as microcontroller for obstacle avoidance and path optimization purpose respectively. The maneuver is assisted with ultrasonic sensors (front and rear) sense and avoid the obstacles within 1 to 2 meters range. …”
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Monograph -
5
FuMAM: fuzzy-based mobile agent migration approach for data gathering in wireless sensor networks
Published 2018“…A mobile agent (MA) was recently proposed to provide an alternative solution for traditional data gathering in wireless sensor networks. An MA is a software component that can migrate among network nodes by following an assigned itinerary (or path). …”
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6
Modeling and optimization of multi-holes drilling path using Particle Swarm Optimization
Published 2018“…Then a machining experiment has been conducted to validate the optimization results. The optimization results clearly indicated that the PSO algorithm outperformed all comparison algorithms for the drilling tool path problem. …”
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Research Report -
7
Path planning algorithm for a car like robot based on MILP method
Published 2013“…This approach is that the path optimization can be easily solved using the CPLEX optimization software with AMPL interface / MATLAB. …”
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Thesis -
8
A Novel Integrating Between Tool Path Optimization Using An ACO Algorithm And Interpreter For Open Architecture CNC System
Published 2021“…Furthermore, high-performing Ant Colony Optimization (ACO) algorithms were used to optimize the travel path time. …”
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Optimization of drilling path using the bees algorithm
Published 2021“…This study uses the Bees Algorithm to find the best sequence of drilling holes (minimum total path length) and the results found are compared with the result of other algorithms. …”
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10
Simulation of identifying shortest path walkway in library by using ant colony optimization
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Undergraduates Project Papers -
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The performance effect due to varying network topologies on a software-defined network employing the k-shortest path
Published 2022“…K-shortest paths algorithm discovers a set of paths ordered in the most optimal, optimal, and suboptimal, has a very wide application is integrated into SDN controller to handle routing functionality. …”
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Path Optimization For Cooperative Multi-Head 3d Printing
Published 2020“…The performance of the two proposed algorithms is compared against Cura, which is a commonly used software for generating the nozzle path. …”
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Final Year Project / Dissertation / Thesis -
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Particle swarm optimization (PSO) for CNC route problem
Published 2002“…The algorithm used in this project is the Global Best (gbest) algorithm where it is a basic algorithm of Particle Swarm Optimization which applicable the shortest time and path of CNC machine to complete the process of drilling. …”
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Undergraduates Project Papers -
14
A-star (A*) algorithm implementation for robotics path planning navigation
Published 2018“…For this project, the main objective is to design and implement an Astar (A*) algorithm. With the used of MATLAB software, the algorithm should be able to provide an optimized pathway and the pathway generated in this software should be a collision-free pathway. …”
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Undergraduates Project Papers -
15
MINIMIZATION OF MACHINING PROCESS SEQUENCE BASED ON ANT COLONY ALGORITHM AND CONVENTIONAL METHOD
Published 2023“…A three-dimensional model consisting of the drilling process and pocket milling process was developed using Solidworks software. Matlab software was used to develop the algorithm based on Ant Colony, which was then used to optimize the process sequence. …”
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MINIMIZATION OF MACHINING PROCESS SEQUENCE BASED ON ANT COLONY ALGORITHM AND CONVENTIONAL METHOD
Published 2023“…A three-dimensional model consisting of the drilling process and pocket milling process was developed using Solidworks software. Matlab software was used to develop the algorithm based on Ant Colony, which was then used to optimize the process sequence. …”
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MINIMIZATION OF MACHINING PROCESS SEQUENCE BASED ON ANT COLONY ALGORITHM AND CONVENTIONAL METHOD
Published 2023“…A three-dimensional model consisting of the drilling process and pocket milling process was developed using Solidworks software. Matlab software was used to develop the algorithm based on Ant Colony, which was then used to optimize the process sequence. …”
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MINIMIZATION OF MACHINING PROCESS SEQUENCE BASED ON ANT COLONY ALGORITHM AND CONVENTIONAL METHOD
Published 2023“…A three-dimensional model consisting of the drilling process and pocket milling process was developed using Solidworks software. Matlab software was used to develop the algorithm based on Ant Colony, which was then used to optimize the process sequence. …”
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Article -
19
Metaheuristic multi-hop clustering optimization for energy-efficient wireless sensor network
Published 2020“…Based on the performance evaluation, GACS outperforms both Genetic Algorithm (GA)-based cluster optimization algorithm and Cuckoo Search (CS)-based multi-hop optimization algorithm.…”
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