The multi-parameterized cluster editing problem حسب Abu-Khzam, Faisal N.

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Incremental Genetic Algorithm حسب Mansour, Nashat

"…If these problems are not small in size, it becomes costly to use a genetic algorithm to reoptimize them after each modification. …"
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Topics in graph algorithms حسب Abu-Khzam, Faisal Nabih

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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

"…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …"

Minimizing using BBO and DFO methods حسب El Zeghondy, Jean

"…In [1], Nour and Zeidan proposed a numerical algorithm to solve optimal control problems involving sweeping processes. …"
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Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect حسب Habeeb, Abdallah

"…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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Effective solutions for the capacitated vehicle routing problem and for the split delivery vehicle routing problem with time windows. (c2013) حسب Hilal, Nathalie

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On-site workshop investment problem: A novel mathematical approach and solution procedure حسب Nima Moradi (19418821)

On the parameterized parallel complexity and the vertex cover problem حسب Abu-Khzam, Faisal N.

"…We initiate the study of FPPT with the well-known k-vertex cover problem. In particular, we present a parallel algorithm that outperforms the best known parallel algorithm for this problem: using O(m) instead of O(n2) parallel processors, the running time improves from 4logn+O(kk) to O(k⋅log3n) , where m is the number of edges, n is the number of vertices of the input graph, and k is an upper bound of the size of the sought vertex cover. …"
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Starvation Problem in CPU Scheduling for Multimedia Systems حسب Salah, Khaled

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Stochastic optimal power flow framework with incorporation of wind turbines and solar PVs using improved liver cancer algorithm حسب Noor Habib Khan (22224775)

"…Moreover, ILCA is applied to resolve the stochastic renewable‐based (wind turbines + PVs) optimal power flow problem using a modified RER‐based IEEE 57‐bus. The objective of this work is to obtain the minimum predicted power losses and enhance the predicted voltage stability. …"

Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller حسب Sk. A., Shezan

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Fuzzy genetic algorithm for floorplanning حسب Youssef, H.

"…Genetic algorithms (GAs) have been found to be very effective in solving numerous optimization problems, especially those with many (possibly) conflicting and noisy objectives. …"
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BUC algorithm for iceberg cubes حسب Nasr, George E.

"…The Uniform distribution is used as a basis for comparison. Results show that when the cube is sparse there is a correlation between the data distribution and the running time of the algorithm. …"
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An enhanced quorum selection algorithm حسب Haraty, Ramzi A.

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An Improved Quorum Selection Algorithm حسب Haraty, Ramzi A.

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Nonlinear analysis of shell structures using image processing and machine learning حسب M.S. Nashed (16392961)

"…In general, such problems in design optimisation or virtual reality applications must be solved repetitively in a short period using direct methods such as nonlinear finite element analysis. …"

Damage assessment & recovery from malicious transactions using data dependency for deffensive information warfare. (c2006) حسب Zeitunlian, Arda

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Correlation Clustering with Overlaps حسب Fakhereldine, Amin

"…In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …"
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A multiobjective optimization method for the SOC Test Time, TAM, and power optimization using a strength pareto evolutionary algorithm حسب Harmanani, Haidar M.

"…This paper presents a multiobjective optimization approach for the SOC test scheduling problem. The method uses a Strength Pareto Evolutionary Algorithm that minimizes the overall test application time in addition to power, wrapper design and TAM assignment. …"
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