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An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP
Published 2021“…To evaluate the proposed algorithm, the solutions to the TSP problem obtained from the proposed algorithm and swap sequence based PSO are compared in terms of the best solution, mean solution, and time taken to converge to the optimal solution. …”
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Automated call receiving and forwarding mechanism for supporting integrated disaster management system
Published 2014“…Based on the evaluation, it is shown that the proposed algorithm are able to shorten the length of time between and incident happens and relevant agencies being dispatched to the event.…”
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Evaluating the effectiveness of integrated benders decomposition algorithm and epsilon constraint method for multi-objective facility location problem under demand uncertainty
Published 2017“…This paper describes an algorithm based on Benders Decomposition Algorithm (BDA) which tries to find Pareto solutions. …”
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Real time nonlinear filtered-x lms algorithm for active noise control
Published 2012“…Subsequently, the THF modelling scheme can be incorporated into an established real time NLFXLMS algorithm termed THF-NLFXLMS algorithm. The developed THF-NLFXLMS algorithm is tested by means of simulation and implemented experimentally using FPGA-based real time controller for a nonlinear ANC application. …”
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Automated call receiving and forwarding mechanism for supporting integrated disaster management system
Published 2014“…Based on the evaluation, it is shown that the proposed algorithm are able to shorten the length of time between and incident happens and relevant agencies being dispatched to the event.…”
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Metaheuristic algorithms applied in ANN salinity modelling
Published 2024“…The principal finding here confirms that hybrid-based outperformed four single-based algorithms based on different criteria. …”
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Modeling time series data using Genetic Algorithm based on Backpropagation Neural network
Published 2018“…Several experiments have been conducted to evaluate the performance of the proposed GA-BPNN based on the percentage of mean squared error (MSE) in learning several nonlinearity datasets. …”
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A combinatory algorithm of univariate and multivariate gene selection
Published 2009“…The results show that the mean of misclassification error of training samples in 100 iteration are almost equal in two algorithms but our algorithm have the better ability to classify independent samples.…”
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Anomaly-based intrusion detection through K-means clustering and naives Bayes classification
Published 2013“…Regrettably, the foremost challenge of this method is to minimize false alarm while maximizing detection and accuracy rate. We propose an integrated machine learning algorithm across K-Means clustering and Naïve Bayes Classifier called KMC+NBC to overcome the aforesaid drawbacks. …”
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Anomaly-based intrusion detection through K-Means clustering and Naives Bayes classification
Published 2013“…Regrettably, the foremost challenge of this method is to minimize false alarm while maximizing detection and accuracy rate.We propose an integrated machine learning algorithm across K-Mean s clustering and Naïve Bayes Classifier called KMC+NBC to overcome the aforesaid drawbacks.K-Means clustering is applied to labeling and gathers the entire data into corresponding cluster sets based on the data behavior,i.e.…”
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13
Automated call receiving and forwarding mechanism for supporting integrated disaster management system
Published 2014“…Based on the evaluation, it is shown that the proposed algorithm are able to shorten the length of time between and incident happens and relevant agencies being dispatched to the event.…”
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A Hybrid Neural Network-Based Improved PSO Algorithm for Gas Turbine Emissions Prediction
Published 2025Article -
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Application and evaluation of the evolutionary algorithms combined with conventional neural network to determine the building energy consumption of the residential sector
Published 2025“…The primary objectives were to assess the performance of three evolutionary algorithms ? Heap-Based Optimizer (HBO), Multiverse Optimizer (MVO), and Whale Optimization Algorithm (WOA) ? …”
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Calibration of optical based silicone tactile sensor based on image deformation technique / Abdul Halim Esa
Published 2016“…The characteristics of the tactile sensor will be analysed according to three parameters namely area, perimeter and diameter of the tactile sensor. Based on these three parameters, three different types of algorithm are developed in order to measure experimentally the forces and deformation based on optical information of the tactile sensor. …”
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Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…This proposed algorithm is developed based on heuristic method named modified binary particle swarm optimization (MBPSO) with kernel fuzzy clustering method as a fitness function. …”
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Feature selection to enhance android malware detection using modified term frequency-inverse document frequency (MTF-IDF)
Published 2019“…The proposed algorithm considered features based on its level of importance where weight given based on number of features involved in the sample. …”
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MISSING DAILY RAINFALL PREDICTION USING GREY WOLF OPTIMIZER-BASED NEURAL NETWORK
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