A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008) حسب Korkmaz, Rita

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Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods حسب Sivakavi Naga Venkata Bramareswara Rao (15944992)

"…In addition, three distinct optimization techniques are used to find the optimum ANN training algorithm: Levenberg–Marquardt, Bayesian Regularization, and Scaled Conjugate Gradient. …"

A deterministic heuristic algorithm for optimal multiprocessor scheduling. (c1995) حسب Moujabber, Bassam N.

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Evolutionary algorithms for state justification in sequential automatic test pattern generation حسب El-Maleh, Aiman H.

"…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. …"
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Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem حسب Abu Zitar, Raed

"…In this work, several measurements are simulated during a time frame accompanied by the generation of several tracks using the Linear Kalman Filter. …"
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Modified clarke wright algorithms for solving the realistic vehicle routing problem حسب Shour, Amina

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A hybrid EDF/FIFO queue for efficient real time flow handling حسب Fawaz, W.

"…In an attempt to meet the stringent time constraints of real time flows, several scheduling algorithms have been proposed in the literature. …"
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The buffered work-pool approach for search-tree based optimization algorithms حسب Abu-Khzam, Faisal N.

"…Different algorithms adopt different branching and pruning techniques in order to reduce the unavoidable exponential growth in run time. …"
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A new simulated annealing-based tabu search algorithm for unitcommitment حسب Mantawy, A.H.

"…The algorithm integrates the use of simulated annealing (SA) and tabu search (TS) for solving the UCP. …"
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A comparison of data mapping algorithms for parallel iterative PDE solvers حسب Mansour, Nashat

"…Based on the comparison results, we recommend the use of the simplest and fastest (PQ) of the six algorithms considered for sequential compile-time mapping of 2-dimensional meshes.…"
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A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models حسب Azar, Danielle

"…In this work, we present a genetic algorithm to optimize predictive models used to estimate software quality characteristics. …"
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Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy حسب Raad, M.W.

"…A fast waveform sampling facility has been recently developed and integrated into the VAX-based data acquisition system at the Center for Applied Physical Sciences (CAPS). This study uses the above facility in developing algorithms for digitally determining the basic pulse parameters and tackling the problem of pulse pile-up in Gamma-ray spectroscopy. …"
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Stochastic P-type/D-type iterative learning control algorithms حسب Saab, Samer S.

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A Recommended Replacement Algorithm for the Scalable Asynchronous Cache Consistency Scheme حسب Haraty, Ramzi A.

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An enhanced k-means clustering algorithm for pattern discovery in healthcare data حسب Haraty, Ramzi A.

"…The experiments also yield better results for G-means in terms of the coefficient of variance and the execution time.…"
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Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain حسب Al Sadawi, Alia

"…The objective is to minimize different cost types while satisfying constraints such as resources availability, customer service level, and tasks dependency relation. The algorithm proved its effectiveness by allocating tasks with higher priority and weight while taking into consideration customers’ Service Level Agreement, time, and different types of costs, which led to a lower total cost of the batching process. …"
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Evolutionary algorithms, simulated annealing and tabu search: a comparative study حسب Youssef, H.

"…Abstract Evolutionary algorithms, simulated annealing (SA), and tabu search (TS) are general iterative algorithms for combinatorial optimization. …"
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On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise حسب Saab, Samer S.

"…Higher-Order Iterative Learning Control (HO-ILC) algorithms use past system control information from more than one past iterative cycle. …"
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A stochastic iterative learning control algorithm with application to an induction motor حسب Saab, Samer S.

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An ant colony optimization algorithm to improve software quality prediction models حسب Azar, D.

"…Method This paper presents an adaptive approach that takes already built predictive models and adapts them (one at a time) to new data. We use an ant colony optimization algorithm in the adaptation process. …"
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