Search Results - (( based optimisation based algorithm ) OR ( model evaluation method algorithm ))
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Optimisation of energy efficient Assembly Sequence Planning using Moth-Flame Optimisation alghorithm
Published 2019“…Furthermore, a case study was conducted to validate the proposed EE-ASP model and the performance of the optimisation algorithms. …”
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2
Evaluating JA-ABC5 hyperparameter optimisation with classifiers
Published 2024“…Because of its simplicity, flexibility, and robustness, the Artificial Bee Colony (ABC) algorithm, a swarm intelligence-based optimisation method, has been widely applied in a variety of fields. …”
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Optimisation of corona ring design and its impact on the performance of insulator string in high voltage transmission lines / Kalaiselvi Aramugam
Published 2022“…Therefore, in this work, a method to achieve an optimum design of a corona ring for a 33 kV and 132 kV composite non-ceramic insulator string was proposed using optimisation methods; Gravitational Search Algorithm (GSA), Imperialist Competitive Algorithm (ICA) and Grey Wolf Optimisation (GWO). …”
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4
Breast cancer diagnosis through an optimization-driven multispectral gamma correction (ODMGC)
Published 2024“…The optimised-based enhancement images serve as a reference point for the histogram specification of the V component of the thermograms in the HSV (Hue, Saturation, and Value) model. …”
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Optimising cloud computing performance with an enhanced dynamic load balancing algorithm for superior task allocation
Published 2024“…Furthermore, the EDLB algorithm enhances load balancing by 46.46%. These results highlight the effectiveness of the EDLB algorithm in addressing critical load balancing issues and surpassing existing methods. …”
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Genetic algorithm for control and optimisation of exothermic batch process
Published 2013“…As such, another approach, GA is proposed to optimise the productivity without referring to a predetermined profile, namely genetic algorithm optimiser (GAO). …”
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7
Optimal water supply reservoir operation by leveraging the meta-heuristic Harris Hawks algorithms and opposite based learning technique
Published 2024“…In this study, an attempt via metaheuristic algorithms, namely the Harris Hawks Optimisation (HHO) Algorithm and the Opposite Based Learning of HHO (OBL-HHO) are made to minimise the water deficit as well as mitigate floods at downstream of the Klang Gate Dam (KGD). …”
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Speech enhancement based on compressive sensing algorithm
Published 2013“…The performance of overall algorithms will be evaluated based on the speech quality by optimise using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). …”
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Proceeding Paper -
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Speech enhancement based on compressive sensing algorithm
Published 2013“…The performance of overall algorithms will be evaluated based on the speech quality by optimise using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). …”
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10
Tremor suppression for 4-DOFs biodynamic hand model using genetic algorithm
Published 2017“…The main objective is to optimise the proportional-integral (PI) controller using genetic algorithm (GA). …”
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Analysis of the ECG signal using SVD-based parametric modelling technique
Published 2011“…A two-stage procedure is then used to estimate the EDS model parameters. Prony’s algorithm is first used to obtain initial estimates of the model, while the Gauss-Newton method is applied to solve the non-linear least-square optimisation problem. …”
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Proceeding Paper -
12
Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques
Published 2024“…Two methods were used to validate the proposed architecture, that is, the analytical method was used to validate the neuro-fuzzy risk assessment model and the safe path selection model, whereas the experimental method was used to evaluate the prototype. …”
thesis::doctoral thesis -
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Using genetic algorithms to optimise land use suitability
Published 2012“…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
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14
PID-based control of a single-link flexible manipulator in vertical motion with genetic optimisation
Published 2009“…The dynamic model of the system is derived using the Lagrange equation and discretised using the finite difference (FD) method. …”
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Proceeding Paper -
15
Gravitational Search Algorithm Based LSTM Deep Neural Network for Battery Capacity and Remaining Useful Life Prediction With Uncertainty
Published 2025“…To evaluate the robustness of the proposed method, 15 prediction samples are generated to calculate the uncertainty levels (95% CI) of the predicted RUL. …”
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Optimal design of corona ring for 132 kV insulator at high voltage transmission lines based on optimisation techniques
Published 2023“…Therefore, in this work, a method to achieve the optimum design of a corona ring for 132 kV composite non-ceramic insulator string was proposed using two optimisation methods: the Imperialist Competitive Algorithm (ICA) and Grey Wolf Optimisation (GWO). …”
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Development of soft computing prediction model for the influent physicochemical characteristics of sewage treatment plants / Mozafar Ansari
Published 2021“…The best algorithm for each parameter was selected based on these criteria. …”
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18
Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods
Published 2017“…This study sought to examine the performance of three newly proposed techniques, for reliability assessment of the power systems, namely Disparity Evolution Genetic Algorithm (DEGA), Binary Particle Swarm Optimisation (BPSO), and Differential Evolution Optimization Algorithm (DEOA). …”
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Sensorless Adaptive Fuzzy Logic Control Of Permanent Magnet Synchronous Motor
Published 2008“…The rules and the implication method used are also optimised and minimised in order to shorten the computation time. …”
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