Search Results - (( motion optimization method algorithm ) OR ( motion optimization strategy algorithm ))
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Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…Recently, intelligent searching methods were proposed to enhance the computational optimization issues in motion estimation but still lack in obtaining the best solution of block matching. …”
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Enhancement of ant colony optimization in multi-robot source seeking coordination
Published 2019“…In hardware platform, the speed of rotation of the wheel is controlled for various movement such as direct motion and rotation in place. Optimization method is focused on ant colony optimization. …”
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Proceedings -
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An enhanced motion planning method for industrial robots based on the digital twin concept
Published 2025“…By integrating an improved Artificial potential field method, A* algorithm, and a synergistic approach combining 3-5-3 polynomial interpolation with particle swarm optimization, we effectively address the challenges of dynamic obstacle avoidance and trajectory optimization. …”
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Articulated robots motion planning using foraging ant strategy
Published 2008“…However, the performance of this method is sub-optimal in terms of the number of configurations generated, length of path, amount of collision checking and computational time. …”
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A study on model-free approach for liquid slosh suppression based on stochastic approximation
“…For the past decades, various control strategies of liquid slosh motion are based on model-based control schemes. …”
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Research Report -
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Development of data-driven controller for slosh suppression in liquid cargo vehicles
“…For the past decades, various control strategies of liquid slosh motion are based on model-based control schemes. …”
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3D virtual modelling and stabilization control of triple links inverted pendulum on two-wheeled system using enhanced interval type-2 fuzzy logic control
Published 2020“…Two optimization algorithms are presented in this work which are Spiral Dynamic Algorithm (SDA) and Particle Swarm Optimization (PSO). …”
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Automated threshold detection for object segmentation in colour image
Published 2016“…The procedure starts with selection of optimal RGB channel. Then H(•) algorithm is applied for automated threshold detection to convert the image frames into grayscale image. …”
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Marine Predator Algorithm and Related Variants: A Systematic Review
Published 2025“…It is a population-based metaheuristic optimization algorithm inspired by the general foraging behavior exhibited in the form of Levy and Brownian motion in ocean predators supported by the policy of optimum success rate found in the biological relationship between prey and predators. …”
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Marine Predator Algorithm and Related Variants: A Systematic Review
Published 2025“…It is a population-based metaheuristic optimization algorithm inspired by the general foraging behavior exhibited in the form of Levy and Brownian motion in ocean predators supported by the policy of optimum success rate found in the biological relationship between prey and predators. …”
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PID Control and Input Shaping for Quadrotor UAV Stabilization and Payload Swing Reduction
Published 2026journal::journal article -
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Improving sliding mode control by using model predictive, fuzzy logic, and integral augmented techniques for aerial vehicle model
Published 2011“…The results reveal that the new merge of SMC with boundary layer (ISMC-BL),MPC, and FLC is an improved method for input tracking, optimization, and disturbance rejection performance for various applications namely the 2-DOF helicopter, the 6-DOF quadrotor helicopter, and the cart moving on a plane. …”
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Machine learning application in predicting anterior cruciate ligament injury among basketball players
Published 2025“…Four machine learning algorithms—Random Forest (RF), Support Vector Machine (SVM), eXtreme Gradient Boosting (XGBoost), and Logistic Regression (LR)—were developed to predict ACL injury. …”
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A review on particle swarm optimization algorithm and its variants to human motion tracking
Published 2014“…Several approaches have been proposed in the literature using different techniques.However, conventional approaches such as stochastic particle filtering have shortcomings in computational cost, slowness of convergence, suffers from the curse of dimensionality and demand a high number of evaluations to achieve accurate results. Particle swarm optimization (PSO) is a population-based globalized search algorithm which has been successfully applied to address human motion tracking problem and produced better results in high-dimensional search space.This paper presents a systematic literature survey on the PSO algorithm and its variants to human motion tracking. …”
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Minimizing machining airtime motion with an ant colony algorithm
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An Improved Spiral Dynamic Optimization Algorithm with Engineering Application
Published 2015“…The spiral motion and dynamic step size are generated by a spiral model that produces unique exploration and exploitation strategies of a spiral dynamic algorithm (SDA). …”
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A Metaheuristic Optimization Using Explosion Method On A Hybrid Pd2-Lqr Quadcopter Controller
Published 2021“…Therefore, an optimization algorithm based on the explosion method called REA was proposed and implemented on the proposed Hybrid PD2-LQR control structure. …”
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