Search Results - (( motion optimization based algorithm ) OR ( problem implementation using algorithm ))
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Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
Published 2008“…This thesis presents a new approach to optimize the performance of a dual beam optical scanning system in terms of its scanning combinations and speed, using Genetic Algorithm (GA). …”
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2
Multi-state PSO GSA for solving discrete combinatorial optimization problems
Published 2016“…These four algorithms can be used to solve discrete combinatorial optimization problems (COPs). …”
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3
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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Algorithm optimization and low cost bit-serial architecture design for integer-pixel and sub-pixel motion estimation in H.264/AVC / Mohammad Reza Hosseiny Fatemi
Published 2012“…This thesis is concerned with algorithm optimization and efficient low cost architecture design for integer motion estimation (IME) and sub-pixel motion estimation (SME) of H.264/AVC. …”
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5
Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module
Published 2023“…This research presents a new approach to optimise the performance of a multiple-beam optical scanning system in terms of its marking combinations and speed, using Genetic Algorithm (GA). The problem has been decomposed into two sub problems; task segregation, where the marking tasks need to be segregated and assigned for each scanner head and path planning where the best combinatorial paths for each scanner are determined in order to minimise the total motion of marking time. …”
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Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module
Published 2023“…This research presents a new approach to optimise the performance of a multiple-beam optical scanning system in terms of its marking combinations and speed, using Genetic Algorithm (GA). The problem has been decomposed into two sub problems; task segregation, where the marking tasks need to be segregated and assigned for each scanner head and path planning where the best combinatorial paths for each scanner are determined in order to minimise the total motion of marking time. …”
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A new variant of black hole algorithm based on multi population and levy flight for clustering problem
Published 2020“…Meta-heuristic algorithm has been successfully implemented on data clustering problems seeking a near optimal solution in terms of quality of the resultant clusters. …”
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Liquid slosh suppression by implementing data-driven fractional order pid controller based on marine predators algorithm
Published 2023“…Thus, this research paper proposed the development of a data-driven fractional-order PID controller based on marine predators algorithm (MPA) for liquid slosh suppression system. …”
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Data-driven fractional-order PID controller tuning for liquid slosh suppression using marine predators algorithm
Published 2023“…Traditional control system development for liquid slosh problems often relies on model-based approaches, which are challenging to implement in practice due to the chaotic and complex nature of fluid motion in containers. …”
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Liquid slosh suppression by implementing data-driven fractional order PID controller based on marine predators algorithm
Published 2023“…Thus, this research paper proposed the development of a data-driven fractional-order PID controller based on marine predators algorithm (MPA) for liquid slosh suppression system. …”
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11
Marine Predator Algorithm and Related Variants: A Systematic Review
Published 2025“…The algorithm is easy to implement and robust in searching, yielding better solutions to many real-world problems. …”
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Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module
Published 2006“…This research presents a new approach to optimise the performance of a multiple-beam optical scanning system in terms of its marking combinations and speed, using Genetic Algorithm (GA). The problem has been decomposed into two sub problems; task segregation, where the marking tasks need to be segregated and assigned for each scanner head and path planning where the best combinatorial paths for each scanner are determined in order to minimise the total motion of marking time. …”
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13
Marine Predator Algorithm and Related Variants: A Systematic Review
Published 2025“…The algorithm is easy to implement and robust in searching, yielding better solutions to many real-world problems. …”
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Hybrid conjugate gradient using exact line search in photovoltaic system / Muhammad Ariiq Iqbaal Azizul Firdaus
Published 2025“…The conjugate gradient (CG) method is widely recognised as one of the most efficient numerical methods for solving unconstrained optimization problems. Various studies have been undertaken by implementing the CG method in image restoration, optimal rocket landing guidance and motion control field. …”
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15
Optimization of slosh suppression system through data-driven state feedback controller
Published 2024“…By performing a one-shot experiment, the initial input-output data is generated, recorded, and properly rearranged to be utilized to solve the control problem based on the Data-driven Linear Matrix Inequality (LMI), Data-driven Pole Placement, and Fictitious Reference Iterative Tuning-Particle Swarm Optimization (FRIT-PSO) to compute the control problem. …”
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16
Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision
Published 2021“…The proposed algorithms aim to accelerate the processes of distortion removal and rectification using precomputed combined maps. …”
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Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…In this study, a pattern based using Particle Swarm Optimization (PSO) is proposed named as Hexagon PSO (HPSO). …”
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18
Lung segmentation in CT for thoracic PET-CT registration through visual study
Published 2012“…In our study, feature based registration algorithm is to be used to solve such problem focusing on the thoracic region. …”
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Runtime reduction in optimal multi-query sampling-based motion planning
Published 2023“…Algorithms; Dispersions; Manufacture; Query processing; Robotics; High-dimensional; Low dispersions; Optimal solutions; Path length; Planning tasks; Sampling-based; Sampling-based algorithms; Sampling-based motion planning; Motion planning…”
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