Search Results - (( simulation optimisation based algorithm ) OR ( using solution using algorithm ))
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Single-Solution Simulated Kalman Filter Algorithm for Global Optimisation Problems
Published 2016“…This paper introduces single-solution Simulated Kalman Filter (ssSKF), a new single-agent optimisa- tion algorithm inspired by Kalman Filter, for solving real-valued numerical optimisation problems. …”
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Single-solution Simulated Kalman Filter algorithm for global optimisation problems
Published 2018“…This paper introduces single-solution Simulated Kalman Filter (ssSKF), a new single-agent optimisation algorithm inspired by Kalman Filter, for solving real-valued numerical optimisation problems. …”
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Single-solution Simulated Kalman Filter algorithm for global optimisation problems
Published 2018“…This paper introduces single-solution Simulated Kalman Filter (ssSKF), a new single-agent optimisation algorithm inspired by Kalman Filter, for solving real-valued numerical optimisation problems. …”
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ENGINEERING DESIGN WITH PSO ALGORITHM
Published 2019“…Creating a PSO algorithm-based infrastructure integrating with the recommendation system will further enhance solution to the design problem. …”
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Final Year Project -
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Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem
Published 2017“…The proposed algorithm is evaluated using tasks scheduling in the scheduling load simulator and validated using statistical modeling. …”
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Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment
Published 2022“…The SOS and its variants Discrete Symbiotic Organisms Search (DSOS) algorithm have been used to solve different optimisation problems including tasks scheduling in cloud computing environment where results obtained are promising in comparison with stateof- the-art metaheuristic algorithms. …”
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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. APSO worked as a global search technique and NR is used for the refinement of best solutions. …”
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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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Distributed learning based energy-efficient operations in small cell networks
Published 2023“…Both user association and power allocation are solved in their respective action spaces. Simulation results demonstrate improved performance in power consumption, load, sum rate, utility, learning rate, convergence, and energy efficiency for small base stations (SBSs) and user equipment (UEs) compared to four benchmarked algorithms, including WMMSE, game theory, Q-learning, and DRL. …”
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A Modified Cascaded H-Bridge Multilevel Inverter Based On Particle Swarm Optimisation (PSO) Technique
Published 2019“…The inverter offers less THD and greater efficiency using PSO control algorithm compared with the NR algorithm. …”
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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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Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function
Published 2019“…This study aims to explore the potential of implementing multi-agent-based Genetic Algorithm (GA) with interactive metamodel to acquire regular optimisation on dynamic characteristic of traffic flow. …”
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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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Optimising ventilation for thermal comfort and infection control in vehicles: A review on CFD applications and techniques
Published 2025“…The review highlights that RNG k-ε and SST k-ω are among the most commonly used turbulence models in vehicle cabin simulations, based on their suitability for modelling complex airflow patterns and their validation against measured data. …”
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Reliability assessment of generating systems with wind power penetration via BPSO
Published 2017“…The numerical simulation of the suggested solution is compared with the established Monte Carlo simulation (MCS). …”
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Reliability assessment of generating systems with wind power penetration via BPSO
Published 2017“…The numerical simulation of the suggested solution is compared with the established Monte Carlo simulation (MCS). …”
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Performance improvement through optimal location and sizing of distributed generation / Zuhaila Mat Yasin
Published 2014“…All simulations in this study were carried out using IEEE 69-bus distribution test system and 141-bus distribution test system. …”
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