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Hybrid evolutionarybarnacles mating optimisation-artificial neural network based technique for solving economic power dispatch planning and operation / Nor Laili Ismail
Published 2024“…In this study, a new optimisation algorithm termed Hybrid Evolutionary-Barnacles Mating Optimisation (HEBMO) was initially formulated to solve optimisation problems. …”
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Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network
Published 2022“…Moreover, the empirical results obtained showed that incorporating the AHP into Firefly Algorithm improved the accuracy of weight calculations in the multi-objective formulation of the optimisation process. …”
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Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function
Published 2019“…Traditionally, the common practice is to identify a fixed timing plan profile via offline and assumed it as a "nominal optimised" for the actual traffic flow. …”
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Immunized-evolutionary algorithm based technique for loss control in transmission system with multi-load increment
Published 2023“…The classical EP was integrated with immune algorithm so as to reduce the computational burden experienced by the classical EP.The algorithm has been tested on an IEEE 12-Bus System and IEEE 14-Bus System.Comparative study was conducted between EP and IEP in terms of optimisation performance. …”
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A Hybrid Metaheuristic Technique Based on Grey Wolf Optimisation, Symbiotic Organism Search, and Ant Colony Optimisation for Solving Multi-Objective Vehicle Routing Problems
Published 2025“…HMGSA has shown to be reliable and, therefore, an adaptable solution for various distribution systems. The findings also highlight the applicability of HMGSA in real-world courier services, contributing theoretically and practically to logistics optimisation. …”
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Multi-objective evolutionary programming for solving economic dispatch problem
Published 2023“…Economic dispatch (ED) is an optimisation strategy to ensure power systems operate in an economic manner. …”
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Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the prediction o...
Published 2023“…In this study, ML algorithms such as response surface methodology (RSM), adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN) are employed to model the biogas production and methane yield from the AD of POME in a local industry-scale anaerobic covered lagoon. …”
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An Automated System For Classifying Conference Papers
Published 2021“…In conclusion, an automated paper classification system was successfully developed using classification models and its practical usage was demonstrated on a web-based research conference system to help chairmen in assigning papers to suitable reviewers.…”
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Correlation analysis and predictive performance based on KNN and decision tree with augmented reality for nuclear primary cooling process / Ahmad Azhari Mohamad Nor
Published 2024“…This study addresses the challenges posed by traditional maintenance approaches within nuclear power plants, where lengthy procedures and a laborious working process hinder the timely identification and resolution of potential operational issues. Practical algorithms incorporating k-nearest neighbour and decision tree models with quantifiable performance metrics are proposed to streamline and optimise the maintenance process. …”
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A Combinatorial Optimisation of Rater Allocation (Cora): A Discrete Algebraic Formalism for Round-Robin Scheduling In High-Stakes Speaking Assessment
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A Study of the Contribution of Nearest-Neighbour Thermodynamic Parameters to the DNA Sequences Generated by Ant Colony Optimisation
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Modelling and Control of Ankle Foot Orthosis (AFO) for Children Utilising Soft Computing Towards Intelligent Approach
Published 2024“…Using data immediately obtained from the experimental setup, the system's dynamic behaviour was simulated. The research uses both non-parametric and parametric techniques, namely Multilayer Perceptron Neural Network (MLP NN) and Particle Swarm Optimisation (PSO), for system modelling. …”
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Priority-based vehicle-to-grid scheduling for minimization of power grid load variance
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Screening for diabetes among periodontitis patients (CODAPT-My© ): care pathway for bridging primary care with dental care services in Malaysia
Published 2020“…Background The practice of referring diabetic patients for dental intervention has been poor despite awareness and knowledge on the systemic effects of periodontal disease. …”
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