Physical optimization algorithms for mapping data to distributed-memory multiprocessors حسب Mansour, Nashat

"…We present three parallel physical optimization algorithms for mapping data to distributed-memory multiprocessors, concentrating on irregular loosely synchronous problems. …"
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A method for the minimum coloring problem using genetic algorithms حسب Harmanani, Haidar

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Correlation Clustering with Overlaps حسب Fakhereldine, Amin

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Modelling And Analysis Of A Multi-Stage Order Quantity Model حسب Andijani, A. A.

"…A single-item, multi-stage serial order quantity (MSOQ) model with constant demand is discussed. An algorithm to determine the relationship between the lot sizes of the MSOQ model is also developed. …"
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Efficient O(n) BIST algorithms for DDNPS faults in dual portmemories حسب Amin, A.A.

"…Architectural modifications which enhance testability with minimal overhead on both silicon area and device performance are described. New fault models for both the memory array and the address decoders are proposed and efficient O(n) test algorithms are presented. …"
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Efficient heuristic algorithms for influence propagation in social networks. (c2018) حسب Lamaa, Karine H.

"…Then we introduce the notion of an influence propagation function and use it to design an efficient algorithm across all types of networks. Finally, we introduce a new model that allows the maximization of influence propagation while selecting a much smaller set of influencers. …"
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A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs† حسب Harmanani, Haidar

"…This paper presents a hardware implementation to solve the graph colouring problem (chromatic number χ(G)) for arbitrary graphs using the Hopfield neural network (HNN) model of computation. …"
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Metaheuristic algorithm for testing web 2.0 applications. (c2012) حسب Zeitunlian, Hratch Michel

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DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data حسب Assaf, Ali

"…Distributed clustering algorithms, however, can fulfil this gap. They extract a classification model from the distributed objects even when they are in different sites and locations. …"
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Using Machine Learning Algorithms to Forecast Solar Energy Power Output حسب Ali Jassim Lari (22597940)

"…We focused on the first 30-min, 3-h, 6-h, 12-h, and 24-h windows to gain an appreciation of the impact of forecasting duration on the accuracy of prediction using the selected machine learning algorithms. The study results show that Random Forest outperformed all other tested algorithms. …"

Approximation and heuristic algorithms for computing backbones in asymmetric ad-hoc networks حسب Abu-Khzam, Faisal N.

"…We present a first distributed approximation algorithm for this problem. …"
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A distributed genetic algorithm for deterministic and stochastic labor scheduling problems حسب Mansour, Nashat

"…The pervasiveness and economic significance of these three problems has motivated ongoing development and refinement of heuristic solution procedures. In this paper we present a unified formulation for these three labor scheduling problems and introduce a distributed genetic algorithm (DGA) that solves each of them. …"
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Correlation Clustering via s-Club Cluster Edge Deletion حسب Makarem, Norma

"…The problem can be solved in time O(4k). We present a first fixed-parameter algorithm that breaks this 4k barrier by solving the problem in O(3.65k) time. …"
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L-2 Gap-Metric-Based Identification Algorithms For Linear Feedback Systems حسب Al-Amer, Samir

"…In this paper, we propose two algorithms to identify linear feedback systems. The parameters of the model are obtained to minimize the L-2-gap between the observed true system and the identified model. …"
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A new family of multi-step quasi-Newton algorithms for unconstrained optimization حسب Obeid, Samir

"…It concentrates on deriving a variable-metric family of minimum curvature algorithms for unconstrained optimization. The derivation is based on considering a rational model, with a certain tuning parameter, where the aim is to develop a general framework that encompasses all possible two-step minimum curvature algorithms generated by appropriate parameter choices. …"
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Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities حسب Zouein, P. P.

"…This paper presents an investigation of the applicability of a genetic approach for solving the construction site layout problem. …"
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data حسب Behrouz Ahadzadeh (19757022)

"…To improve the effectiveness and efficiency of the UniBFS algorithm, Redundant Features Elimination algorithm (RFE) is presented in this paper. …"

Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment حسب Omer, Dalia Fatahelrahman

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A systolic algorithm for VLSI design of a 1/N rate Viterbi decoder حسب Sait, Sadiq M.

"…The second consists of a matrix of simpler processors which update survived paths and provide the decoded output. The systolic algorithm is modeled in AHPL to verify functional correctness. …"
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A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption حسب Azadeh, Ali

"…This study aims to introduce a flexible genetic algorithm-fuzzy regression approach for forecasting the future bitumen consumption. …"
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