Search Results - (( user evaluation based algorithm ) OR ( control optimization approach algorithm ))
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MYMealPal: Malaysian healthy meal planner using artificial bee colony approach / Wan Muhamad Amirul Hakimi Wan Mohd Zaki
Published 2017“…Artificial Bee Colony (ABC) approach is employed as an optimization algorithm in MYMealPal development. …”
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Student Project -
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Performance evaluation of multi-user detection in Cdma using micro-genetic algorithm
Published 2005“…Genetic Algorithms (GA) is a search and optimizes technique that works by estimating multiple solutions in order to come with the best estimated solution. …”
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Proceeding Paper -
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Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism
Published 2025“…The core of the algorithm utilizes a Genetic Algorithm (GA) to find the optimal position for the first evaluator by minimizing the total distance between this evaluator and all CCTV nodes, aiming for surveillance efficiency. …”
Conference paper -
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Performance Comparison of Nature-inspired Optimization Algorithms Applied to MVDR Technique for Canceling Multiple Access Interference Signals
Published 2018“…Methods/Analysis: In this work, two nature-inspired optimization methods, namely Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) are applied to enhancing the conventional MVDR performance. …”
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Article -
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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
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Electroencephalogram signal interpretation system for mobile robot
Published 2013“…The aim of this project is to develop an algorithm that can choose optimal four electrodes for signal recording, and convert one thought into multiple commands with the chosen electrodes. …”
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Thesis -
7
Dynamic approaches for spectrum control in cognitive radio networks
Published 2015“…This is done by allowing secondary users (unlicensed users) to access licensed spectrum if the primary user (licensed user) is not using it. …”
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Thesis -
8
Application of conjugate gradient approach for nonlinear optimal control problem with model-reality differences
Published 2018“…In this paper, an efficient computational algorithm is proposed to solve the nonlinear optimal control problem. …”
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Article -
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Application of conjugate gradient approach for nonlinear optimal control problem with model-reality difference
Published 2018“…In this paper, an efficient computational algorithm is proposed to solve the nonlinear optimal control problem. …”
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Article -
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Efficient hybrid flooding scheme for ad-hoc on-demand distance vector routing protocol in MANET
Published 2014“…Another prominent approach is the Dominant Pruning (DP) which is a distributed dominating set algorithm developed to alleviate the impact of flooding in mobile ad-hoc networks. …”
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Thesis -
11
Diagnosis of Poor Control Loop Performance: Development of a Model Based Compensation Algorithm for Control Valve Stiction Nonlinearity
Published 2016“…The objective of this paper is to develop a model based compensation algorithm using optimization approach of MIQP based MPC backlash compensator for control valve stiction nonlinearity. …”
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Final Year Project -
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Hybridization of nonlinear sine cosine and safe experimentation dynamics algorithms for solving control engineering optimization problems
Published 2024“…The empirical assessment of these proposed methods encompasses a diverse set of 23 benchmark functions, demonstrating their efficacy comparable to well-established metaheuristic algorithms such as as the Grey Wolf Optimizer (GWO), Multi-Verse Optimization (MVO), Sine Cosine Algorithm (SCA), Ant Lion Optimizer (ALO), Moth-Flame Optimization Algorithm (MFO), and Grasshopper Optimization Algorithm (GOA). …”
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Thesis -
13
Stochastic optimal control of economic growth model under research and development investment with Kalman filtering approaches
Published 2022“…The significance of this study is to provide a stochastic optimal control model for the economic growth problem and to suggest an efficient computational approach for solving this stochastic optimal control problem.…”
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Article -
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A data driven approach to wind plant control using moth-flame optimization (MFO) algorithm
Published 2019“…This article presents an investigation of a data driven approach using moth-flame optimization algorithm (MFO) to the problem of improving wind plants power generation. …”
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Article -
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A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design
Published 2012“…This paper presents a hybrid optimization algorithm, referred to as hybrid spiral dynamics bacterial chemotaxis (HSDBC) algorithm. …”
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Conference or Workshop Item -
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A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design
Published 2012“…This paper presents a hybrid optimization algorithm, referred to as hybrid spiral dynamics bacterial chemotaxis (HSDBC) algorithm. …”
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Conference or Workshop Item -
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Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems
Published 2011“…Instead of solving the original optimal control problem, the model-based optimal control problem is solved. …”
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Thesis -
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A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design
Published 2012“…The algorithm synergizes spiral adaptive simplified bacterial foraging algorithm (BFA) and spiral dynamics inspired optimization algorithm (SDA). …”
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Conference or Workshop Item -
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Charging and discharging model of lithium-ion battery for charge equalization control using particle swarm optimization algorithm
Published 2023“…Charging (batteries); Controllers; DC-DC converters; Electric inverters; Equalizers; Ions; Particle swarm optimization (PSO); Static random access storage; Two term control systems; Voltage control; Algorithmic approach; Battery storage system; Charge and discharge; Charge equalization; Discontinuous current mode; Particle swarm optimization algorithm; PI controller parameters; Proportional-integral control; Lithium-ion batteries…”
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