Search Results - (( 3d simulation optimization algorithm ) OR ( using optimization based algorithm ))
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The Development Of A Robust Algorithm For Uav Path Planning In 3d Environment
Published 2016“…Significant research has been conducted on Unmanned Aerial Vehicle (UAV) path planning using evolutionary algorithms, such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Differential Evolution (DE), and Biogeographic-Based Optimization (BBO). …”
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Thesis -
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Development of a Bioinspired optimization algorithm for the automatic generation of multiple distinct behaviors in simulated mobile robots
Published 2006“…The ANN acts as a controller for radio frequency (RF)-Iocalization behavior of a Khepera robot simulated in a 3D physics-based environment. A fitness function has been created from the preliminary experiment with optimized two conflicting objectives: (1) maximize the virtual Khepera robot's behavior for homing towards a RF signal source and (2) minimize the number of hidden neurons used in its ANNs controller by the utilization of Pareto-frontier Differential Evolutionary Multi-objective (POE) algorithm. …”
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Research Report -
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Damping power system oscillation using elitist differential search algorithm in multi machine power system
Published 2023“…Detailed comparative studies are conducted to compare the performance of Elitist-DSA based PSSs with the tuned PSSs using bacteria foraging optimization algorithm (BFOA) and particle swarm optimization (PSO) in terms of statistical analyses, improvement of eigenvalues and system damping over oscillations. …”
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Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…In addition, it is expected that it can be applied in real-time application. In this study, Simulated Kalman Filter (SKF) is applied to image template matching application as the optimization algorithm. …”
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Thesis -
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Evolutionary multi-objective optimization of autonomous mobile robots in neural-based cognition for behavioural robustness
Published 2009“…It explains the comparison performances among the elitism without archive and elitism with archive used in the evolutionary multi-objective optimization (EMO) algorithm in an evolutionary robotics study. …”
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Chapter In Book -
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Evolution of RF-signal cognition for wheeled mobile robots using pareto multi-objective optimization
Published 2009“…A mobile robot is simulated in a 3D, physics-based environment for the RF-localization behavior. …”
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Performance Analysis of Swarm Intelligence-Based Routing Protocol for Mobile Ad Hoc Network and Wireless Mesh Networks
Published 2009“…Among various works inspired by ant colonies, the Ant Colony Optimization (ACO) metaheuristic algorithms are the most successful and popular, e.g., AntNet, Multiple Ant Colony Optimization (MACO) and AntHocNet. …”
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Thesis -
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Optimization And Execution Of Multiple Holes-Drilling Operations Based On STEP-NC
Published 2021“…A developed system is based on STEP-NC interpretation, optimization, 3D simulation, and automatic document generation modules that have been used to verify and validate the system in extract and optimize STEP-NC drilling codes. …”
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Enhancement Of Clustering Algorithm Using 3D Euclidean Distance To Improve Network Connectivity In Wireless Sensor Networks For Correlated Node Behaviours
Published 2024“…This research uses an experimental based simulation using NS-2 and C++ programming. …”
thesis::doctoral thesis -
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Cauchy density-based algorithm for VANETs clustering in 3D road environments
Published 2022“…The model has been simulated by considering several simulation parameters including traffic, mobility, driving behavior, and road curvature. …”
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Artificial neural controller synthesis for TORCS
Published 2015“…In this research, a free open source 3D-based simulator named The Open Racing Car Simulator (TORCS) is chosen as the research platform. …”
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Thesis -
14
Tuning of PID controller for a synchronous machine connected to a non-linear load
Published 2023“…This paper proposes a method of determining the optimal proportional integral derivative (PID) controller parameters using the particle swarm optimization (PSO) technique. …”
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Artificial Neural Controller Synthesis in Autonomous Mobile Cognition
Published 2009“…This paper describes a new approach in using multi-objective evolutionary algorithms in evolving the neural network that acts as a controller for the phototaxis and radio frequency localization behaviors of a virtual Khepera robot simulated in a 3D, physics-based environment. …”
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Artificial Neural Controller Synthesis in Autonomous Mobile Cognition
Published 2009“…This paper describes a new approach in using multi-objective evolutionary algorithms in evolving the neural network that acts as a controller for the phototaxis and radio frequency localization behaviors of a virtual Khepera robot simulated in a 3D, physics-based environment. …”
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Long-term optimal planning for renewable based distributed generators and plug-in electric vehicles parking lots toward higher penetration of green energy technology
Published 2025“…A hybrid optimization algorithm addresses the proposed objectives, combining the non-dominated sorting genetic algorithm (NSGA-II) and multi-objective particle swarm optimization (MOPSO) to minimize the three distinct objective functions concurrently. …”
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New optimization technique to design the core of three-phase transformer
Published 2019“…In this study, an intelligent algorithm employing particle swarm optimization (PSO) has been used to get the optimum T-joint design of a core in a three-phase transformer. …”
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Conference or Workshop Item -
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Comparison of PPO and SAC Algorithms towards decision making strategies for collision avoidance among multiple autonomous vehicles
Published 2021“…In order to address this challenge, a simulation was implemented in the Unity3D game engine and two state-of-the-art RL algorithms PPO (Proximal Policy Optimization) and SAC (Soft Actor-Critic) were trained by an agent using Unity ML-Agents Toolkit. …”
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Conference or Workshop Item -
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Automatic generation of Swarm Robotic behaviors using multi-objective evolution
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Working Paper
