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experimental case » experimental mouse (Expand Search), experimental _ (Expand Search)
case algorithm » cosine algorithm (Expand Search), carlo algorithm (Expand Search), jaya algorithm (Expand Search)
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experimental case » experimental mouse (Expand Search), experimental _ (Expand Search)
case algorithm » cosine algorithm (Expand Search), carlo algorithm (Expand Search), jaya algorithm (Expand Search)
level colony » bee colony (Expand Search)
element » elements (Expand Search)
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1
A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)
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masterThesis -
2
Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect
Published 2022“…The second phase, modified the Artificial Bee Colony (ABC) Algorithm, with Upper Confidence Bound (UCB) Algorithm, to promote the exploitation ability for the minimum dimension, to get the minimum number of the optimal feature, then using forward feature selection strategy by four classifiers of machine learning algorithms: (K-Nearest Neighbors (KNN), Support vector machines (SVM), Naïve-Bayes (NB), and Polynomial Neural Networks (PNN). …”
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Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study
Published 2021“…This study was performed using an in-house finite-element method contrast source inversion algorithm (FEM-CSI). …”
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Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
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doctoralThesis -
6
Natural optimization algorithms for optimal regression testing
Published 1997“…The present two natural optimization algorithms, namely simulated annealing and genetic algorithms, for solving this problem. …”
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7
Metaheuristic Algorithm for State-Based Software Testing
Published 2018“…We formulate the testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …”
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Incremental & classical genetic algorithm. (c2001)
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masterThesis -
9
A genetic algorithm for corrective retesting. (c1995)
Published 1995Get full text
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masterThesis -
10
A hybrid genetic algorithm for task allocation in multicomputers
Published 2018“…HGATA also makes use of problem-specific information to evade some computational costs and to reinforce favorable aspects of the genetic search at some appropriate points. The experimental results on realistic test cases support the HGATA approach for task allocation.…”
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11
Simulated Annealing and Genetic Algorithms for Optimal Regression Testing
Published 1999“…The experimental results, which include a comparison with previous algorithms, show that the simulated annealing and genetic algorithms find the optimal or near-optimal number of retests within a reasonable time. …”
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ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation
Published 2022“…For that reason, this work is focused on the theoretical studies and experimental validation on dSPACE Board DS1104 of the new proposed approach based on PID speed regulation, optimized by the Ant Colony Optimization algorithm (ACO) for DTC, applied to both sides of the Doubly Fed Induction Motor (DFIM), to overcome the previous drawbacks cited at the beginning. …”
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Metaheuristic algorithm for testing web 2.0 applications. (c2012)
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14
Allocating data to multicomputer nodes by physical optimization algorithms for loosely synchronous computations
Published 1992“…Experimental results show that the physical algorithms produce better solutions than those of recursive bisection methods and that they have diverse properties. …”
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A non-convex economic load dispatch problem using chameleon swarm algorithm with roulette wheel and Levy flight methods
Published 2023“…An Enhanced Chameleon Swarm Algorithm (ECSA) by integrating roulette wheel selection and Lévy flight methods is presented to solve non-convex Economic Load Dispatch (ELD) problems. …”
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A reduced model for phase-change problems with radiation using simplified PN approximations
Published 2025“…To solve the coupled equations, we implement a second-order implicit scheme for the time integration and a mixed finite element method for the space discretization. A Newton-based algorithm is also adopted for solving the nonlinear systems resulting from the considered monolithic approach. …”
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A Novel BIPV Reconfiguration Algorithm for Maximum Power Generation under Partial Shading
Published 2020“…The system is optimised for maximum yield to determine the optimal configuration and number of modules for each string using a genetic algorithm. The outcomes from the algorithm are based on clustering the solar insolation values and then applying a genetic algorithm optimisation to indicate the optimum BIPV array layout for maximum yield.…”
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Power-constrained system-on-a-chip test scheduling using a genetic algorithm
Published 2006“…The method achieved optimal test schedules in all attempted cases in a short CPU time.…”
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Brain Source Localization in the Presence of Leadfield Perturbations
Published 2015Get full text
doctoralThesis