Search Results - (( simulation optimisation system algorithm ) OR ( using function a algorithm ))
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Optimised intelligent tilt controller scheme using genetic algorithms
Published 2006“…This paper presents work on a fuzzy control design for improving the performance of tilting trains with local-per vehicle control, i.e. without employing precedence control.An optimisation procedure using Genetic Algorithms as employed to determine both the best fuzzy output membership function and best PID controller parameters. …”
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Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network
Published 2022“…As for multi-objective functions associated with the optimisation problem, a weight-sum method is typically used to determine each objective function's coefficient factors (CF). …”
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Tiki-taka algorithm: a novel metaheuristic inspired by football playing style
Published 2021“…Purpose Metaheuristic algorithms have been commonly used as an optimisation tool in various fields. …”
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Locust- inspired meta-heuristic algorithm for optimising cloud computing performance
Published 2023“…The proposed algorithm is evaluated using the WorkflowSim simulation with a real dataset. …”
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Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function
Published 2019“…The idea is proposed in effort of accessing the functionality of the proposed algorithm to improve the smoothness of traffic flow in a network. …”
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Comparison Of Crossover In Genetic Algorithm For Discrete-Time System Identification
Published 2021“…Genetic algorithm (GA), a method known for optimisation is used for selecting a model structure. …”
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Control of exothermic batch process using multivariable genetic algorithm
Published 2021“…GA exploits the probabilistic search method to optimise the specific objective function based on the evolutionary principle. Simulation assessment of the GA has been carried out using a benchmark exothermic batch process model. …”
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Dynamic modelling of a single link flexible manipulator in vertical motion using swarm and genetic optimisation
Published 2009“…A simulation environment characterizing the system behaviour in vertical motion is used as a platfonn to test and verifY the PSO and GA based transfer function models. …”
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Proceeding Paper -
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Development of a scalable video compression algorithm
Published 2012“…To improve the perceptual quality of coded video in a computation-constrained scenario, through controlling per-frame complexity, a rate-distortion optimised (RDO) rate control algorithm for encoding low bit rate video helped to achieve the target bitrates and PSNR using Lagrangian multiplier function. …”
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Proceeding Paper -
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Optimised multi-robot path planning via smooth trajectory generation
Published 2024“…A MPSO algorithm, without path smoothening, is used for comparison. …”
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Final Year Project / Dissertation / Thesis -
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Effective method for optimal allocation of distributed generation units in meshed electric power systems
Published 2011“…These objective functions are fuzzified into a single multi-objective function, and subsequently solved using genetic algorithm (GA). …”
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Particle Swarm Optimised Controller for Solid-State Transfer Switch Towards Fast Power Transfer and PQ Mitigation
Published 2023Conference Paper -
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Sensorless Adaptive Fuzzy Logic Control Of Permanent Magnet Synchronous Motor
Published 2008“…The output signal of the PI controller is added to the direct FLC output to compensate any deviations in the motor speed from the reference speed due to parameters variation and disturbances in the load. The design and optimisation of the FLC are carried out using an adaptive fuzzy inference system network that uses the backpropagation, least square and gradient algorithms. …”
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Asset liability management model: The case of selected Islamic banks in Malaysia / Chong Hui Ling
Published 2017“…This study proposes an approach using a multi-objective penalty cost function, which allows the management of assets and liabilities of a bank in a realistic environment that has been simulated and proven to enhance the performance of the system. …”
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Hybrid firely and particle swarm optimisation algorithm for optimal dimming level and energy saving in lecturer’s room
Published 2022“…To achieve the optimisation, a good, efficient and fast simulation algorithm is required. …”
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A new optimisation framework based on Monte Carlo embedded hybrid variant mean–variance mapping considering uncertainties
Published 2024“…The MVMO-SH had the lowest APL index compared to genetic algorithm and particle swarm optimisation when the probabilistic power flow with PVDG was optimised under uncertainty. …”
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