Search Results - addition _ different ((optimisation algorithm) OR (selection algorithm))
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Optimisation of Surface Roughness in 3D Printing Using the Bees Algorithm
Published 2025“…The focus of this study is to determine the optimum input parameter of the 3D printer using the Bees Algorithm (BA). This study uses the Bees Algorithm to predict the best combination parameters to optimise the surface roughness of parts printed by a fused deposition modelling (FDM) machine. …”
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Book Chapter -
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Optimized Cover Selection for Audio Steganography Using Multi-Objective Evolutionary Algorithm
Published 2023“…Therefore, this research proposed a new method for optimising cover audio selection for audio steganography using the Non-dominated Sorting Genetic Algorithm-II (NSGA-II), which falls under the MOEA Pareto dominance paradigm. …”
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A hyper-heuristic cost optimisation approach for Scientific Workflow Scheduling in cloud computing
Published 2018“…In addition, the CTDHH approach enhances the native random selection way of existing hyper-heuristic approaches by incorporating the best computed workflow completion time to act as a high-level selector to dynamically pick a suitable algorithm from the pool of LLH algorithms after each run. …”
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Not seeing the forest for the trees: Generalised linear model out-performs random forest in species distribution modelling for Southeast Asian felids
Published 2023“…Additionally, algorithm followed by study area and species, were the main factors driving differences in the spatial scales identified. …”
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Optimization of Feeder Bus Routes for Electric Train Service using Ant Colony Algorithm
Published 2014“…In order to address this issue, an optimised feeder bus system is proposed. Hence, to achieve this, various optimisation algorithm needs to be studied and researched. …”
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Final Year Project -
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Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam
Published 2023“…The Whale Optimisation Algorithm (WOA), Harris Hawks Optimisation (HHO) Algorithm, Lévy Flight WOA (LFWOA) and the Opposition-Based Learning of HHO (OBL-HHO) were proposed to simulate the initial model’s response and optimise the Klang Gate Dam (KGD) release operation with observed inflow, water level (storage), release, and evaporation rate (loss). …”
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Final Year Project / Dissertation / Thesis -
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Evaluate the performance of university course timetabling problem with different combinations of genetic algorithm
Published 2025“…Due to the effectiveness of genetic algorithm (GA) in optimisation problems, it has been widely discussed in numerous research to address UCTP. …”
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Final Year Project / Dissertation / Thesis -
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Optimal design of low-voltage distribution networks for CO2 emission minimisation. Part II: Discrete optimisation of radial networks and comparison with alternative design strategi...
Published 2011“…In particular, a specific algorithm is developed to apply the proposed circuit design for CO2 emission minimisation to radial networks, the great majority of low-voltage ones, taking into account the presence of only discrete capacities available for cable selection. …”
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Intelligent Computerised System Towards Implementing a Lining-Layout Optimisation Strategy
Published 2024“…The three strategies considered for preparing field lining; 1) 60' line-direction 2) selecting the best line-direction for single block and 3) selecting the best line-directions for many separate blocks, might lead to different numbers of trees. …”
conference output::conference proceedings::conference paper -
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Gateway placement optimisation problem for mobile multicast design in wireless mesh networks
Published 2012“…This novel formulation will serve as the basis for IGW placement and selection algorithm to address IGW deployment problem in a mobile multicast WMN architecture. …”
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Proceeding Paper -
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Forensic language of property theft genre based on mathematical formulae and machine learning algorithms / Hana' Abd Razak
Published 2020“…Further, Principal Component Analysis (PCA) is used as feature optimisation in selecting the most significant features from the 840 joint features and resulted in 114 significant joint features. …”
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Thesis -
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Improvement Of Stereo Matching Algorithm Based On Sum Of Gradient Magnitude Differences And Semi-Global Method With Refinement Step
Published 2018“…A new stereo matching algorithm which uses improved matching cost computation and optimisation using the semi-global method (SGM) is proposed.The absolute difference is sensitive to low textured regions and high noise on the stereo images with radiometric distortions. …”
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Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network
Published 2022“…Therefore, this research also investigates and compares the two different VSIs that are widely used to determine the most suitable VSI that gives much better optimisation results. …”
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Thesis -
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A Simulated Annealing-Based Hyper-Heuristic For The Flexible Job Shop Scheduling Problem
Published 2023“…However, the performance of each MAR-JSR pair is problem-dependent. In addition, within an algorithm execution, the MAR-JSR pair performs differently at different problem states. …”
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Thesis -
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Rainfall modeling using two different neural networks improved by metaheuristic algorithms
Published 2024“…According to the findings, the hybrid MLP�HGSO was selected as an effective rainfall prediction model. � 2023, The Author(s).…”
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Locust- inspired meta-heuristic algorithm for optimising cloud computing performance
Published 2023“…Additionally, the proposed algorithm exhibited superior performance compared to other state-of-the-art algorithms. …”
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Thesis -
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Published 2020“…In addition, ISSA was compared with four well-known optimization algorithms such as Genetic Algorithm, Particle Swarm Optimization, Grasshopper Optimization Algorithm, and Ant Lion Optimizer. …”
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Varying Variants For AncDE With MDV Between Target And Trial Vector Measurement
Published 2018“…This paper compares standard Differential Evolution algorithm with AncDE,which adds a separate cache of recent ancestors that serve as an additional source of highquality genetic information.We compare the solutions produced by both DE and AncDE algorithms using benchmarks of 15 different numeric optimisation problems.Two distinct explorations are presented.The first test is distinct algorithmic variants of AncDE.The second part of this paper defines an MDV attribute and results are presented indicating some interesting differences in MDV between the DE and AncDE algorithms.Our findings indicate that ancestors can help to overcome some of the local variations in solutions quality and improve solution quality by improving population diversity.…”
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