Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems حسب Khaled Dhibi (16891524)

"…First, a feature selection tool using PSO Algorithm is developed. Then, in order to maximize the diversity between data samples and improve the effectiveness of using PSO algorithm for feature selection, the Euclidean distance metric is used in order to reduce the data and maximize the diversity between data samples. …"

An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling حسب ALKETBI, SAIF

"…The results showed the proposed methodology outperformed existing algorithms in optimizing project durations and resources allocation. …"
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine حسب Debendra Muduli (20748758)

"…In this MOD-POA+ELM algorithm, the modified pelican optimization algorithm (MOD-POA) has been utilized to optimize the parameters of ELM’s hidden neurons. …"

A Comprehensive Framework for Optimizing and Integrating Electric Bus Service with Smart Grids for Sustainable Public Transportation حسب AlAli, Aisha Abdalla

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Thermodynamic Analysis and Optimization of Densely-Packed Receiver Assembly Components in High-Concentration CPVT Solar Collectors حسب Sharaf, Omar Z.

"…Finally, using the developed design models and simulation algorithms, constrained non-linear multi-variable geometric optimization of the assembly components has been carried out to obtain minimum pumping power, maximum extractor heat transfer coefficient, and maximum thermoelectric power output. …"
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Genetic algorithms applications in load frequency control حسب Abdel-Magid, Y.L.

"…This paper deals with the application of genetic algorithms for optimizing the parameters of conventional automatic generation control (AGC) systems. …"
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Metaheuristic Algorithm for State-Based Software Testing حسب Haraty, Ramzi A.

"…We formulate the testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …"
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Artificial neural network algorithms. (c1999) حسب Ramadan, Samer N.

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An efficient claim management assurance system using EPC contract based on improved monarch butterfly optimization models حسب K. Mukilan (22224793)

"…To address these challenges, a claim management system is developed based on the Improved Monarch Butterfly Optimization Algorithm (IMBOA) and the principles of EPC. …"

Assessment of Inventory and Transportation Collaboration in a Logistics Marketplace حسب Shahid, Saif Mohammad

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Distributed dimension reduction algorithms for widely dispersed data حسب Abu-Khzam, F.N.

"…To address this need, an effective distributed dimension reduction algorithm is developed. …"
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Nested ensemble selection: An effective hybrid feature selection method حسب Kamalov, Firuz

"…Numerical experiments on synthetic and real-life data demonstrate the effectiveness of the proposed method. The NES algorithm achieves perfect precision on the synthetic data and near optimal accuracy on the real-life data. …"
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Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem حسب Abido, M. A.

"…The potential and effectiveness of the newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) for solving a real-world power system multiobjective nonlinear optimization problem are comprehensively discussed and evaluated in this paper. …"
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Multiobjective evolutionary algorithms for electric power dispatch problem حسب Abido, M.A.

"…The potential and effectiveness of the newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) for solving a real-world power system multiobjective nonlinear optimization problem are comprehensively discussed and evaluated in this paper. …"
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Control of nonlinear dynamical systems using genetic algorithms حسب Al-Duwaish, H.N.

"…This paper introduces a new method for the control of nonlinear systems using genetic algorithms. The proposed method formulates the nonlinear controller design as an optimization problem and genetic algorithms are used in the optimization process. …"
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Simultaneous stabilization of multimachine power systems viagenetic algorithms حسب Abdel-Magid, Y.L.

"…The problem of selecting the parameters of power system stabilizers which simultaneously stabilize this set of plants is converted to a simple optimization problem which is solved by a genetic algorithm with an eigenvalue-based objective function. …"
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Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach حسب El Gohary, Youssef Hesham

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Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems حسب Abdel Magid, Y.L.

"…The task of selecting the output feedback gains is converted to a simple optimization problem with an eigenvaluebased objective function, which is solved by a genetic algorithm. …"
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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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Evolutionary algorithms for state justification in sequential automatic test pattern generation حسب El-Maleh, Aiman H.

"…Evolutionary algorithms have been effective in solving many search and optimization problems. …"
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