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241
Regression testing web services-based applications
Published 2006“…Our algorithm selects every test sequence that corresponds to a different behavior in the modified system. …”
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conferenceObject -
242
Particle swarm optimization approach for protein structure prediction in the 3D HP model
Published 2012“…Proteins fold, under the influence of several chemical and physical factors, into their 3D structures, which determine their biological functions and properties. Misfolding occurs when the protein folds into a 3D structure that does not represent its native structure, which can lead to diseases. …”
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243
Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment
Published 2023“…A robust model predictive control strategy, based on the minimax objective function and particle swarm optimisation algorithm, is developed to handle the uncertainties in the system. …”
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244
Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems
Published 2023“…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AASP&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …”
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245
Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems
Published 2023“…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AAS-P&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …”
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246
Fixed set search applied to the multi-objective minimum weighted vertex cover problem
Published 2022“…One important characteristic of the proposed GRASP is that it avoids the use of weighted sums of objective functions in the local search and the greedy algorithm. …”
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247
R-CONV++: uncovering privacy vulnerabilities through analytical gradient inversion attacks
Published 2025“…The first algorithm presents a novel data leakage method that efficiently exploits convolutional layer gradients, demonstrating that even with non-fully invertible activation functions, such as ReLU, training samples can be analytically reconstructed directly from gradients without the need to reconstruct intermediate layer outputs. …”
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248
EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING
Published 2020“…Furthermore, with current trends partitioning has become a multi-objective problem, where power, delay and area in addition to minimum cut, need to be optimized. …”
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249
Genetic Fuzzimetric Technique (GFT)
Published 2012“…Integration of fuzzy systems with genetic algorithm has been identified by researchers as a useful technique of optimizing systems under uncertainty. …”
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conferenceObject -
250
Modeling of magnetization curves for computer-aided design
Published 1993“…A simple algorithm is presented for obtaining the coefficients of the sine-series function for modelling the magnetization curves of magnetic materials. …”
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251
Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem
Published 2016“…The research note is presented in two parts: Part A presents an overview of REBUS, including its development, algorithm, and its primary functions. …”
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252
Critical exponents from the weak-coupling, strong-coupling and large-order parametrization of the hypergeometric (k+1Fk) approximants
Published 2021“…growth factor of the given perturbation series provided that one of the denominator parameters of the hypergeometric approximant takes large values. The algorithm with the new parametrization has been tested using two quantum mechanical problems where one can incorporate the weak-coupling, strong-coupling and large-order information. …”
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253
GENETIC SCHEDULING OF TASK GRAPHS
Published 2020“…A genetic algorithm for scheduling computational task graphs is presented. …”
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254
Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks
Published 2018“…We generate results as a function of a wide range of system parameters, and demonstrate that the proposed algorithms achieve near-optimal performance with notably low time complexity.…”
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255
Power system output feedback stabilizer design via geneticalgorithms
Published 1997“…In the second method, the problem of selecting the output feedback gains is converted to a simple optimization problem with an eigenvalue based objective function, which is solved by a genetic algorithm. …”
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256
Fragment-based computational protein structure prediction
Published 2014“…The method is based on a two-phase Scatter Search algorithm that minimizes the energy function. …”
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conferenceObject -
257
Software defect prediction. (c2019)
Published 2019“…This is normally measured at the level of a module. A module is a class in the object-oriented design or a function in the procedural design. …”
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masterThesis -
258
Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System
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doctoralThesis -
259
Scatter search metaheuristic for homology based protein structure prediction. (c2015)
Published 2015“…Determining a protein’s structure is a challenging goal in structural bioinformatics, offering important insight towards understanding the function of a protein. …”
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masterThesis -
260
Robust tuning of power system stabilizers in multimachine powersystems
Published 2000“…The problem of selecting the stabilizer parameters is converted to a simple optimization problem with an eigenvalue-based objective function, which is solved by a tabu search algorithm. …”
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