Search Results - adoption from different ((optimisation algorithm) OR (selection algorithm))
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Design Of Perturbative Hyper-Heuristics For Combinatorial Optimisation
Published 2019“…In order to explore the solution search space of a combinatorial optimisation problem, an approximation algorithm performs perturbations on the existing solutions by adopting a single or multiple perturbative Low-Level Heuristic(s) (LLHs). …”
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A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…EMCQ uses four low-level heuristic sets adopted from the teaching learning-based optimisation (TLBO) algorithm, flower pollination algorithm (FPA), genetic algorithm (GA), and Jaya algorithm. …”
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A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…EMCQ uses four low-level heuristic sets adopted from the teaching learning-based optimisation (TLBO) algorithm, flower pollination algorithm (FPA), genetic algorithm (GA), and Jaya algorithm. …”
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Modelling of optimized hybrid debris flow using airborne laser scanning data in Malaysia
Published 2019“…Cuckoo search), and evaluator or model inducing algorithms (e.g SVM) were utilized for feature subset selection, which further compared to select the optimal conditioning factors subset. …”
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5
Passive congregation theory for particle swarm optimization (PSO): An application in reservoir system operation
Published 2023“…The passive congregation theory of natural being's social behaviour is adopted to updated the standard PSO algorithm and used to develop and optimise a reservoir release policy for monthly basis. …”
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Hybrid genetic algorithm for uncapacitated university examination timetabling problem
Published 2015“…The main components of the genetic operators in a Genetic Algorithm (GA) will be tested and the best combination of the genetic operators will be adopted to construct a Pure Genetic Algorithm (PGA). …”
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7
Zebra optimization algorithm for feature selection
Published 2026“…This algorithm is adopted by inspiring the social behavior and movements strategies of zebras in wildlife. …”
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Multiview Laplacian semisupervised feature selection by leveraging shared knowledge among multiple tasks
Published 2019“…Experiment results on several multimedia applications have shown that the proposed algorithm is competitive compared with the other single-view feature selection algorithms.…”
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10
An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion
Published 2018“…Our experience indicates that all the algorithms generate nearly similar number of test cases, but in terms of performance, they differ from one another. …”
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Multidimensional Minimization Training Algorithms for Steam Boiler Drum Level Trip Using Artificial Intelligence Monitoring System
Published 2010“…The merging procedure is described in the paper. Results are obtained from one hidden layer neural network and two hidden layers neural network structures, for both adopted algorithms. …”
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Extremal region detection and selection with fuzzy encoding for food recognition
Published 2019“…The second algorithm reduces the quantity of interest regions by using the Extremal Region Selection (ERS) algorithm. …”
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Android Malware classification using static code analysis and Apriori algorithm improved with particle swarm optimization
Published 2014“…This paper presents a classification of android malware using candidate detectors generated from an unsupervised association rule of Apriori algorithm improved with particle swarm optimization to train three different supervised classifiers. …”
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Proceeding Paper -
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Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…In order to estimate the quality of ‘pruned’ features, self-adaptive DE algorithm is proposed. Two parameters (population size and generation numbers) are adaptively adopted from number of remaining ranking features. …”
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17
Weather forecasting using artificial neural network
Published 2014“…In this study, Kuching city been selected as the study area. The Kuching meteorology data used in this study is collected from the Malaysian Meteorological Department. …”
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Final Year Project Report / IMRAD -
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Finite impulse response optimizers for solving optimization problems
Published 2019“…SAFIRO differs from MAFIRO in term of the number of agents. …”
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Finite impulse response optimizers for solving optimization problems
Published 2019“…SAFIRO differs from MAFIRO in term of the number of agents. …”
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20
Evaluation of the Transfer Learning Models in Wafer Defects Classification
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