Search Results - (( solution construction method algorithm ) OR ( model optimization method algorithm ))
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Ideal combination feature selection model for classification problem based on bio-inspired approach
Published 2020“…Such a finding indicates that the exploitation of bio-inspired algorithms with ideal combination of wrapper/filtered method can contribute in finding the optimal features to be used in data mining model construction.…”
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Book Section -
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Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…Therefore, this study explores how to model reconfigurable manufacturing activities in an optimization perspective and how to develop and select appropriate non-conventional optimization techniques for reconfigurable process planning.In this study, a new approach to modeling Manufacturing Process Planning Optimization (MPPO) was developed by extending the concept of manufacturing optimization through a decoupled optimization method. …”
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Thesis -
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Improved dung beetle optimization algorithm and finite element analysis for spindle optimization
Published 2024“…Through the combination of the IDBO algorithm and FEA method, the mass of the spindle is reduced from 46.582 kg obtained by the IDBO algorithm solution to 28.479 kg, a total reduction of 38.86%, while meeting design requirements such as maximum total deformation. …”
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Nonlinear auto-regressive model structure selection using binary particle swarm optimization algorithm / Ahmad Ihsan Mohd Yassin
Published 2014“…The algorithm searches the solution space by selecting various model structures and evaluating its fitness. …”
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Improved black-winged kite algorithm and finite element analysis for robot parallel gripper design
Published 2024“…A response surface optimization model is constructed to determine the best design solution. …”
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Feedforward neural network for solving particular fractional differential equations
Published 2024“…This research aims to develop a scheme based on a feedforward neural network (FNN) with a vectorized algorithm (FNNVA) for solving FDEs in the Caputo sense (FDEsC) using selected first-order optimization techniques: simple gradient descent (GD), momentum method (MM), and adaptive moment estimation method (Adam). …”
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…However, achieving an optimum solution for these two metrics is a trivial task because their efficiency relies on modelling, optimizing, partitioning, and job scheduling methods. …”
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Gravitational Search Algorithm based Long Short-term Memory Deep Neural Network for Battery Capacity and Remaining Useful Life Prediction with Uncertainty
Published 2024“…The RUL prediction uncertainty with a 95% confidence interval (CI) is also analyzed. The GSA algorithm optimizes the hyperparameters of the LSTM network to construct an optimal model. …”
Conference Paper -
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PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah
Published 2017“…The proposed method is compared with three established conventional Linear Least Squares (LLS) solution methods : Normal Equation (NE), QR factorization (QR) and Singular Value Decomposition (SVD). …”
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Harmony Search Approach In The Strut And Tie Model To Optimise The Stress Distribution In A Concrete Box Girder
Published 2021“…Optimisation using metaheuristic algorithm could provide an alternative for more efficien t STM construction. …”
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Final Year Project / Dissertation / Thesis -
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Hybrid tabu search – strawberry algorithm for multidimensional knapsack problem
Published 2022“…For example, Tabu Search (TS) has been successfully hybridized with other techniques, including particle swarm optimization (PSO) algorithm and the two-stage TS algorithm to solve MKP. …”
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Variable Neighborhood Descent and Whale Optimization Algorithm for Examination Timetabling Problems at Universiti Malaysia Sarawak
Published 2025“…A constructive algorithm was developed to generate an initial feasible solution, which was subsequently refined using two primary approaches to evaluate their efficiency: Iterative Threshold Pipe Variable Neighborhood Descent (IT-PVND), and a modified Whale Optimization Algorithm (WOA). …”
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Development of an integrated scheduling model for handling equipment in automated port container terminals
Published 2014“…In addition, results proved that the modified meta-heuristic algorithm is able to find near optimal solutions and on average, the solutions found by the GA algorithm are only 0.2% worse than the optimal solutions and in the worst case in the test cases this difference is 2.3% which is acceptable. …”
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Crossover and mutation operators of real coded genetic algorithms for global optimization problems
Published 2016“…First and foremost, this study examines the proposed crossover and mutation operators on the problems of slow convergence and premature convergence to suboptimal solution. Second of all, this study operates within experimental design with Taguchi method to discover the optimal design factors for the two proposed genetic operators. …”
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An Integrated Model to Enhance the Transportation Methods in Malaysia: Review Paper
Published 2014“…In this study, we plan to construct a Simulation Model (SM) in corporate with the Road Network Design Method (RNDM), Genetic Algorithm system (GAs), and Optimization method. …”
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Multiobjective optimization of solar-powered irrigation system with fuzzy type-2 noise modelling
Published 2016“…This method was then used to construct the approximate Pareto frontier as well as to identify the best solution option in a fuzzy setting. …”
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Book -
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A robust firefly algorithm with backpropagation neural networks for solving hydrogeneration prediction
Published 2018“…Second, it is to construct on this method to improve an efficient process for prediction problems that can discover efficient solutions at a high speed of convergence. …”
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Parameter Estimation of Lorenz Attractor: A Combined Deep Neural Network and K-Means Clustering Approach
Published 2022“…This study constructs the flow of DNN based method with the K-Means algorithm. …”
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Conference or Workshop Item -
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Deep continual learning for predicting blast-induced overbreak in tunnel construction / He Biao
Published 2024“…Third, the overbreak prediction model is further integrated with metaheuristic algorithms, aiming to identify the optimal blasting parameters that can minimize overbreak. …”
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Thesis
