Search Results - (( water distribution search algorithm ) OR ( _ variation case algorithm ))
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Adaptive levy flight distribution algorithm for solving a dynamic model of an electric heater
Published 2023“…Moreover, a mating strategy is also adopted to improve its stochastic nature throughout the search process. The algorithm is applied to optimize a nonlinear dynamic model of an electric water heater. …”
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Nomadic people optimizer (NPO) for large-scale optimization problems
Published 2019“…The NPO is inspired by the lifestyle of the nomads. The proposed algorithm simulates the behavior of the nomads when they are searching for life sources (water or grazing fields). …”
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Thesis -
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Image Reconstruction Based on Combination of Inverse Scattering Technique and Total Variation Regularization Method
Published 2020“…The Forward-Backward Time-Stepping - Total Variation (FBTS-TV) regularization algorithm is in a two-dimensional case and implemented in C++ language executed in single computing. …”
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Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method
Published 2016“…It is observed that in 67% of studied cases, inflation rate can strengthen cell load variation. …”
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Backstepping Integral Super Twisting Sliding Mode Control Algorithm For Autonomous Underwater Glider
Published 2019“…The simulation results have shown that the proposed controller provides the smallest chattering about more than 100 times smaller than ISTSMC, more than 10000 times smaller than backstepping ISMC and backstepping STSMC in nominal, disturbance and parameter variation cases respectively. The steady error of the proposed controller also gives the smallest steady state error of four times smaller than ISTSMC and backstepping ISMC and two times smaller than backstepping STSMC in all cases for pitching angle and 1000 times smaller than ISTSMC and 100 times smaller than backstepping ISMC and backstepping STSMC for excess mass. …”
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Stator resistance estimation of induction motor using genetic algorithm
Published 2012“…The changes can cause an error between the actual and estimated motor torques which leads to motor break down in worst cases. In order to solve this issue, a genetic algorithm method is designed to estimate the variation of stator resistance. …”
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Undergraduates Project Papers -
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Rain streaks removal using total variation and sparse coding based on case based reasoning approach
Published 2024journal::journal article -
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A Stacked Ensemble Deep Learning Approach For Imbalanced Multi-class Water Quality Index Prediction
Published 2024journal::journal article -
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Profile measurement based on focus variation method for geometrical defect evaluation: a case study of cold forged propeller blade
Published 2014“…The profile was obtained with the use of InfiniteFocus Alicona 3D surface measurement system. Specific algorithms were developed for different cases as the evaluation of the features is discrete and the results were validated.…”
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Image denoising using combined higher order non-convex total variation with overlapping group sparsity
Published 2019“…It is widely known that the total variation image restoration suffers from the stair casing artifacts which results in blocky restored images. …”
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Approximation solution for system of generalized ordered variational inclusions with operator in ordered Banach space
Published 2017“…Here, we prove an existence result for the solution of the system of generalized ordered variational inclusions and deal with a convergence scheme for the algorithms under some appropriate conditions. …”
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Analysis of load variation consideration for optimal distributed generation placement
Published 2021“…Thus, this paper aims to analyze the impact of the variation of the load level with the DG connection in the power system by using the improved gravitational search algorithm (IGSA) as an optimization technique. …”
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Dose verification procedures in radiotherapy
Published 1999“…In most test cases dose variations were less than 2%. The variation between measured and calculated data for all the test conditions ranged from 0.3% to 6.9%. …”
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Conference or Workshop Item -
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Modified Sumudu Transform Analytical Approximate Methods For Solving Boundary Value Problems
Published 2019“…In this algorithm, the convolution theorem has been used to find an optimal Lagrange multiplier.…”
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Modified Sumudu Transform Analytical Approximate Methods For Solving Boundary Value Problems
Published 2019“…In this algorithm, the convolution theorem has been used to find an optimal Lagrange multiplier.…”
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Optimisation of fed-batch fermentation process using deep reinforcement learning
Published 2023“…At the same time, the total ethanol formation is 0.19 g/l and 0.03 g/l lower than the exponential feeding and genetic algorithm, respectively. In other cases of different initial yeast and substrate concentrations, the proposed algorithm in general outperforms the exponential feeding profile while produces comparable results to the genetic algorithm. …”
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