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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 -
2
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 -
3
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“…Without a specific method introduced to determine the optimal values of input and output control gains, as well as the IT2FLC control parameters, optimization algorithm has been applied to enhance the system's performance in term of stability and disturbance rejection. …”
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Thesis -
4
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“…Findings: In comparison to conventional MVDR, the proposed algorithms have indicated that MVDRGSA providesfavorable agreement of synthesizing a maximum gain toward the desired real user angle while introducing deep null-forming in the undesired user directions. …”
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Article -
6
Electroencephalogram signal interpretation system for mobile robot
Published 2013“…Currently, the BCI application is to acquire signals from 32 to 64 electrodes’ recordings and translate them to a movement using various computing algorithm which can be used in wheelchair navigation, or control robot movements. …”
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Thesis -
7
Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
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Optimisation of distributed generation in electric power systems using fuzzy-genetic algorithm approach
Published 2011“…This provides a user friendly interface for the system operator in determining the optimal allocation of a single DG unit in radial distribution networks. …”
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Thesis -
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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 -
10
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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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 -
14
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 -
15
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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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 -
18
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 -
20
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
