Structural alignment. (c2006) by Kazma, Layal

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Optimal design of power-system stabilizers using particle swarm optimization by Abido, M.A.

“…In this paper, a novel evolutionary algorithm-based approach to optimal design of multimachine power-system stabilizers (PSSs) is proposed. …”
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Evaluating Parallel Simulated Evolution Strategies for VLSI Cell Placement by Sait, Sadiq M.

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Predicting Android Malware Using Evolution Networks by Chahine, Joy

“…This issue requires the development of efficient solutions in order to keep up with the continuous evolution of malware. …”
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Data Generation for Path Testing by Mansour, Nashat

“…The two algorithms are: a simulated annealing algorithm (SA), and a genetic algorithm (GA). …”
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Scatter search technique for exam timetabling by Mansour, Nashat

“…In this work, we develop an evolutionary heuristic technique based on the scatter search approach for finding good suboptimal solutions for exam timetabling. …”
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Evolution Of Activation Functions for Neural Architecture Search by Nader, Andrew

“…In this work, we propose the use of a self-adaptive evolutionary algorithm that searches for new activation functions using a genetic programming approach, and we compare the performance of the obtained activation functions to ReLU. …”
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Simulated evolution for timing and low power VLSI standard cell placement by Sait, Sadiq M.

“…For this hard multiobjective combinatorial optimization problem, no known exact and efficient algorithms exist that guarantee finding a solution of specific or desirable quality. …”
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QoS-driven multicast tree generation using tabu search by Youssef, H.

“…Results show that on almost all test cases, TS algorithm exhibits more intelligent search of the solution subspace and is able to find better solutions than other reported multicast algorithms.…”
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Vehicular-OBUs-As-On-Demand-Fogs by Sami, Hani

“…Our proposed scheme embeds (1) a Kubeadm based approach for clustering OBUs and enabling on-demand micro-services deployment with the least costs and time using Docker containerization technology, (2) a hybrid multi-layered networking architecture to maintain reachability between the requesting user and available vehicular fog cluster, and (3) a vehicular multi-objective container placement model for producing efficient vehicles selection and services distribution. An Evolutionary Memetic Algorithm is elaborated to solve our vehicular container placement problem. …”
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Nonlinear clustering optimization for scalable data mining in cloud and quantum computing environments by Manjula, S.

“…The findings make nonlinear analysis a fundamental component of unsupervised learning in the present day, and apply to the dynamical systems modelling, interpretable data mining, and resource-sensitive algorithm design. The model offers an intellectual roadmap to the future of cloud-quantum clustering systems that will take into account the needs of engineering, scientific, and industrial discovery.…”
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Final exams scheduling for univeristies. (c2001) by Timany, Mazen Nuhad

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Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations by Shameem A. Puthiya Parambath (14150997)

“…Here we propose a two-stage algorithm based on soft clustering to provide an efficient solution to this problem. …”

Inertial Navigation system of In-pipe Inspection Robot by Al-Masri, Wasim

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Joint distributed synchronization and positioning in UWB ad hoc networks using TOA by Denis, B.

“…For both distributed synchronization and positioning algorithms, simulation results are provided to illustrate the relevance of such a solution.…”
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Transmission Line Fault Location Using Unsynchronized Measurements by Hussain, Shoaib

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An easy-to-use scalable framework for parallel recursive backtracking by Abu-Khzam, Faisal N.

“…Many of these algorithms use recursive backtracking as their core solution paradigm. …”
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Centroid-Based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training by El-Abd, Mohammed

“…Our algorithm encodes weights and biases into a candidate solution, employs a centroid-based strategy in three different ways to generate different trial vectors, while the objective function is based on classification error. …”
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Enhanced Jaya optimization for improving multilayer perceptron neural network in urban air quality prediction by Abdullah, Afsah

“…Furthermore, we introduce an external archive strategy, termed EOL-Archive-Jaya, which guides the evolution of the algorithm toward more promising search regions. This strategy saves the best solutions obtained during the optimization process for later use, enhancing the algorithm’s performance. …”
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Enhanced Jaya optimization for improving multilayer perceptron neural network in urban air quality prediction by Abdullah, Afsah

“…Furthermore, we introduce an external archive strategy, termed EOL-Archive-Jaya, which guides the evolution of the algorithm toward more promising search regions. This strategy saves the best solutions obtained during the optimization process for later use, enhancing the algorithm’s performance. …”
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