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A Computational Intelligence Approach to Clustering of Temporal Data
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Aerodynamic optimisation of a small-scale wind turbine blade for low windspeed conditions
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Teaching Western classical piano music effectively in West Malaysia
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A bi-criteria algorithm for the simultaneous minimization of makespan and number of tardy jobs on a single machine with sequence dependent set-up time
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Reliable Outdoor Ai-Based Autonomous Uav Localization and Trajectory Tracking Using Cellular Networks
Published 2024“…We utilize conventional optimization methods to determine the optimal bound of the solution of the reliable UAV navigation problem. …”
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Damping of electromechanical oscillations using power system stabilizers
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The design of public transit networks with heuristic algorithms : case study Cape Town
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Fitness Landscape Analysis for the Differential Evolution Algorithm
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Operational cost and emissions minimisation of a multi-microgrid system through energy management
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Inclusion of input saturation in the design of dynamically operable plants
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Hierarchical model predictive control of a venlo-type greenhouse
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Selection Hyper-heuristics for Population-based Meta-heuristics in Continuous Dynamic Environments
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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems
Published 2025“…Reinforcement learning (RL) is a model-free optimization approach that can learn solar PV behaviour and store and reuse optimization information for future optimization tasks. …”
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Numerical solution of advection-diffusion and convective Cahn-Hilliard equations
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Efficient energy management in ultra-dense wireless networks
Published 2020“…The proposed solution to the formulated optimization problem makes use of constraint relaxation to transform the NP-hard problem into a more solvable, convex and linear optimization one. …”
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