Search Results - (( using simulation method algorithm ) OR ( using optimisation based algorithm ))*
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Simulation Of Path Optimisation Algorithms
Published 2017“…Likewise, when comparing between Bidirectional Searching with Replanning and Unidirectional Searching with Replanning, a decrease of 41.08%, 25.57% and 14.41% on algorithm total time can be seen. Thus, in this final year project, the optimum algorithm to use is A* algorithm with Bidirectional Searching method and Replanning method included during the searching process. …”
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Monograph -
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Reinforcement Learning Algorithm for Optimising Durian Irrigation Systems: Maximising Growth and Water Efficiency
Published 2024“…The reinforcement learning method was used to optimise irrigation schedules, with rewards based on soil moisture, tree growth, rainfall, and weather conditions. …”
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Article -
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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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Thesis -
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Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes
Published 1993“…The double iterative loop structures of the proposed algorithms use the real process measurement within the outer loops while the inner loops involve model based computation only. …”
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Date store management in sliding window based on-line identification algorithms
Published 2001“…This paper provides a brief overview of several sliding window algorithms used in on-line identification. Various data store methods are then proposed. …”
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Conference or Workshop Item -
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Selective harmonic elimination in multilevel inverter using hybrid APSO algorithm
Published 2018“…In the proposed method, ring topology-based APSO algorithm is hybrid with NR method. …”
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Optimising cloud computing performance with an enhanced dynamic load balancing algorithm for superior task allocation
Published 2024“…Evaluations using CloudSim simulations demonstrate that the EDLB algorithm achieves substantial average improvements over benchmark algorithm and the-state-of-the-art algorithm, including a 59.46% reduction in total makespan, a 12.70% reduction in average makespan, a 22.46% reduction in execution time, and a 3.10% increase in resource utilisation. …”
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Investigating a round robin strategy over multi algorithms in optimising the quality of university course timetables
Published 2023“…In this study, we apply three algorithms, that is, Great Deluge, Simulated Annealing and Hill Climbing where the Round Robin algorithm is used as control strategy in choosing the algorithm to be employed at the current stage. …”
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Tool path generation of contour parallel based on ant colony optimisation
Published 2016“…An Ant Colony Optimisation (ACO) method is used to optimize the tool path length because of its capability to find the shortest tool path length. …”
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A Spectral Proximal Methodforsparse Optimisation On Underdetermined Linear Systems
Published 2022“…However, it cannot be solved by using the standard optimisation algorithm since l0-norm is nonconvex and non-smooth. …”
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Final Year Project / Dissertation / Thesis -
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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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Active intelligent control of vibration of flexible plate structures
Published 2011“…However, the non-model based AVC algorithms are faster than their model-based AVC counterparts.…”
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Thesis -
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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. …”
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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 -
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Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation
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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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Sensorless Adaptive Fuzzy Logic Control Of Permanent Magnet Synchronous Motor
Published 2008“…The fuzzy inference system is trained and designed using an adaptive network. The rules and the implication method used are also optimised and minimised in order to shorten the computation time. …”
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Thesis
