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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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Genetic algorithm optimisation for fuzzy control of wheelchair lifting and balancing
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Proceeding Paper -
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Performance evaluation and benchmarking of an extended computational model of ant colony system for DNA sequence design
Published 2014“…The performance of the extended computational model is also benchmarked with the existing algorithm such as a Genetic Algorithm (GA), Multi-Objective Evolutionary Algorithm (MOEA), and Particle Swarm Optimisation (PSO).…”
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Article -
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Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing
Published 2018“…Cloud computing has become biggest buzz in the computer era these days.It runs entire operating systems on the cloud and doeverything on cloud to store data off-site.Cloud computing is primarily based on grid computing, but it’s a new computational model.Cloud computing has emerged into a new opportunity to further enhance way of hosting data centre and provide services.The primary substance of cloud computing is to deal the computing power,storage,different sort of stages and services which assigned tothe external users on demand through the internet.Task scheduling in cloud computing is vital role optimisation and effective dynamic resource allocation for load balancing.In cloud, the issue focused is under utilisation and over utilisation of the resources to distribute workload of multiple network links for example,when cloud clients try to access and send request tothe same cloud server while the other cloud server remain idle at that moment, leads to the unbalanced of workload on cloud data centers.Thus, load balancing is to assign tasks to the individual cloud data centers of the shared system so that no single cloud data centers is overloaded or under loaded.A Hybrid approach of Honey Bee (HB) and Particle Swarm Optimisation (PSO) load balancing algorithm is combined in order to get effective response time.The proposed hybrid algorithm has been experimented by using CloudSim simulator.The result shows that the hybrid load balancing algorithm improves the cloud system performance by reducing the response time compared to the Honey Bee (HB) and Particle Swarm Optimisation (PSO) load balancing algorithm.…”
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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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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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Tiki-taka algorithm: a novel metaheuristic inspired by football playing style
Published 2021“…The proposed tiki-taka algorithm (TTA) simulates the short passing and player positioning behaviour for optimisation. …”
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Date store management in sliding window based on-line identification algorithms
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Conference or Workshop Item -
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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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An elitist-flower pollination-based strategy for constructing sequence and sequence-less t-way test suite
Published 2018“…In line with the upcoming of a new field called search-based software engineering (SBSE), many newly developed t-way strategies adopting meta-heuristic algorithms can be seen in the literature for constructing interaction test suite (such as simulated annealing (SA), genetic algorithm (GA), ant colony optimisation algorithm (ACO), particle swarm optimisation (PSO), harmony search (HS) and cuckoo search (CS). …”
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Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub...
Published 2014“…AU simulation and optimisation works are carried out using gPROMS™. …”
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Monograph -
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Evolvable traffic signal control for intersection congestion alleviation with enhanced particle swarm optimisation
Published 2017“…This work simulates traffic system and develop an optimising algorithm to instruct the traffic signal timing plan. …”
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Proceedings -
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Optimization of zinc oxide surge arrester design in reducing leakage current / Nurul Ain Abdul Latiff
Published 2018“…Evolutionary computation methods, imperialist competitive algorithm (ICA) and gravitational search algorithm (GSA) were employed to optimise the arrester designs, which can minimise the leakage current. …”
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Thesis -
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An enhanced discrete symbiotic organism search algorithm for optimal task scheduling in the cloud
Published 2021“…Our proposed algorithm is an extension of the standard symbiotic organism search (SOS), a nature-inspired algorithm that has been implemented to solve various numerical optimisation problems. …”
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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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Article -
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Artificial immune network model based controller for vibration suppression of flexible structures
Published 2010“…Artificial immune network (AiNet) algorithm with real-valued random initialisation of antibodies is considered to optimise the system model for use in active vibration controller development in a single-input and multi-output (SIMO) configuration. …”
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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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Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation
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Proceeding Paper -
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PID-based control of a single-link flexible manipulator in vertical motion with genetic optimisation
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Proceeding Paper
