A Stochastic Approach To Solving The Weight Setting Problem in OSPF Networks by Shaik, Muzibur Rehman

“…With such complex issues in the frameset, assigning weights to these large networks, resulting in the best cost is an NP-hard problem. In this thesis, a prudent approach of mitigating the mentioned problem by using a Stochastic Evolution (StocE) heuristic is used which provides a close to optimal solution to these kinds of problems. …”
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The Effects of Data Mining on Small Businesses in Dubai by AlMutawa, Rasha

“…While there are numerous studies on the best data mining models and their uses, even on certain industries, this study focuses on the applications more than the algorithms and models and their usefulness for small businesses specifically. …”
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A hybrid Harris Hawks optimizer for economic load dispatch problems by Al-Betar, Mohammed Azmi

“…This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an important problem in power systems that is tackled by finding the optimal schedule of the generation units that minimize fuel conceptions under a set of constraints. …”
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Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging by Maricar, Mohammed Farook

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A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem by Habchi, Wassim

“…The use of the finite element method allows the use of variable unstructured meshing and different types of elements within the same model which leads to a reduced size of the problem. …”
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GenDE: A CRF-Based Data Extractor by Kayed, Mohammed

“…The problem is solved by breaking down an observation sequence (a Web page) into simpler subsequences that will be labeled using CRF. …”
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A Hybrid Fault Detection and Diagnosis of Grid-Tied PV Systems: Enhanced Random Forest Classifier Using Data Reduction and Interval-Valued Representation by Khaled Dhibi (16891524)

“…The proposed approach deals with system uncertainties (current/voltage variability, noise, measurement errors, ⋯) by using an interval-valued data representation, and with large-scale systems by using a dataset size-reduction framework. …”

An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting by Mohamed Massaoudi (16888710)

“…First, the NARXNN model acquires the data to generate a residual error vector. Then, the stacked LSTM model, optimized by Tabu search algorithm, uses the residual error correction associated with the original data to produce a point and interval PVPF. …”

The effects of data balancing approaches: A case study by Paul Mooijman (4453189)

“…<p dir="ltr">Imbalanced datasets affect the performance of machine learning algorithms adversely. To cope with this problem, several resampling methods have been developed recently. …”

(k, l)-Clustering for Transactional Data Streams Anonymization by Tekli, Jimmy

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A new genetic algorithm approach for unit commitment by Mantawy, A.H.

“…The former is solved using the proposed genetic algorithm while the latter problem is solved via a quadratic programming routine. …”
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A new approach and faster exact methods for the maximum common subgraph problem by Abu-Khzam, Faisal N.

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Fuzzy simulated evolution algorithm for VLSI cell placement by Sait, Sadiq M.

“…In this paper, we present a fuzzy simulated evolution (FSE) algorithm to tackle this problem. Identification of near optimal solutions is achieved through a novel goal-directed fuzzy search approach. …”
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A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem by Abu Zitar, Raed

“…Due to the complex nature of the capacitated vehicle routingproblem, metaheuristic optimization algorithms are widely used for tackling this type of challenge.Coronavirus Herd Immunity Optimizer (CHIO) is a recent metaheuristic population-based algorithm thatmimics the COVID-19 herd immunity treatment strategy. …”
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A genetic algorithm approach for regrouping service sites by Mansour, Nashat

“…In the first phase, the graph is decomposed into the required number of subgraphs (regions) using a tuned hybrid genetic algorithm. The second phase finds a suitable center within each region by using a heuristic algorithm. …”
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Fuzzy simulated evolution algorithm for topology design of campusnetworks by Youssef, H.

“…We present an approach based on the simulated evolution algorithm for the design of campus network topology. …”
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An exact algorithm for connected red–blue dominating set by Abu-Khzam, Faisal N.

“…We use our algorithm to solve the Connected Dominating Set problem in O⁎(n1.8619). …”
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An Algorithm For Computing The Distance Between Two Circular Disks by Almohamad, H.A.

“…We also show that the point-circle distance problem is solvable in closed-form, and the convergence of the numerical algorithm is linear.…”
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A hybrid genetic algorithm for task allocation in multicomputers by Mansour, Nashat

“…A hybrid genetic algorithm for the task allocation problem (HGATA) in multicomputers is presented. …”
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Simultaneous stabilization of multimachine power systems viagenetic algorithms by Abdel-Magid, Y.L.

“…This paper demonstrates the use of genetic algorithms for the simultaneous stabilization of multimachine power systems over a wide range of operating conditions via single-setting power system stabilizers. …”
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