Power system output feedback stabilizer design via geneticalgorithms حسب Abdel-Magid, Y.L.

"…A digital simulation of the power system is then used in conjunction with the genetic algorithm to determine the output feedback gains. In the second method, the problem of selecting the output feedback gains is converted to a simple optimization problem with an eigenvalue based objective function, which is solved by a genetic algorithm. …"
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Definition and selection of fuzzy sets in genetic‐fuzzy systems using the concept of fuzzimetric arcs حسب Kouatli, Issam

"…Design/methodology/approach – The design was based on two principles: selection and optimization. …"
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Data Generation for Path Testing حسب Mansour, Nashat

"…These algorithms are based on an optimization formulation of the path testing problem which include both integer- and real-value test cases. …"
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FAST FUZZY FORCE-DIRECTED/SIMULATED EVOLUTION METAHEURISTIC FOR MULTIOBJECTIVE VLSI CELL PLACEMENT حسب Sait, Sadiq M.

"…SE is hybridized with force directed algorithm to speed-up the search. The proposed schemes are compared with previously presented SE based heuristics. …"
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2022 IEEE Congress on Evolutionary Computation (CEC) حسب El-Abd, Mohammed

"…RL is used to select the best-performing action among three of them in the optimization process to evolve a set of solution based on the population state and reward value. …"
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Cost-Benefit Analysis of Genotype-Guided Interruption Days in Warfarin Pre-Procedural Management حسب Islam, Eljilany

"…The benefit of the interventional algorithm was based on estimated reduction in the probabilities of clinical events and their cost, added to the avoided cost because of canceled procedures. …"
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Cost-Benefit Analysis of Genotype-Guided Interruption Days in Warfarin Pre-Procedural Management حسب Islam Eljilany (14151588)

"…The benefit of the interventional algorithm was based on estimated reduction in the probabilities of clinical events and their cost, added to the avoided cost because of canceled procedures. …"

Second-order conic programming for data envelopment analysis models حسب Mourad, Nahia

"…Indeed, the aforesaid method is based on mathematical optimization. This paper constructs a second-order conic optimization problem unifying several DEA models. …"
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Localization of Damages in Plain And Riveted Aluminium Specimens using Lamb Waves حسب S. Andhale, Yogesh

"…The genetic optimization (GO) method is used to further refine the location of damage within the enclosed area obtained using astroid algorithm. …"
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Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems حسب Sadjadi, Hossein

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Genetic Fuzzimetric Technique (GFT) حسب Kouatli, Issam

"…Integration of fuzzy systems with genetic algorithm has been identified by researchers as a useful technique of optimizing systems under uncertainty. …"
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UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices حسب Samir, Moataz

"…Then, we develop an effective sub-optimal algorithm based on successive convex approximation in order to obtain results for larger network scenarios. …"
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Guaranteed Cost Control Of A Markov Jump Linear Uncertain System UsingA Time-Multiplied Cost Function حسب Boukas, EK

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Finite state machine state assignment for area and power minimization حسب El-Maleh, A.

"…A fuzzy-based aggregation function is employed to combine the two objectives. …"
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Guaranteed Cost Control Of A Markov Jump Linear Uncertain System Using A Time-Multiplied Cost Function حسب Boukas, EK

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Guaranteed Cost Control Of A Markov Jump Linear Uncertain System Using A Time-Multiplied Cost Function حسب Boukas, EK

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Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure حسب Kouatli, Issam

"…GFT (Genetic Fuzzimetric Technique) is of no exception which merges Fuzzy logic with genetic algorithm to achieve the optimization of the decision making process under uncertainty. …"
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Parallel processing حسب Mansour, Nashat

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Robust tuning of power system stabilizers in multimachine powersystems حسب Abdel-Magid, Y.L.

"…The problem of selecting the stabilizer parameters is converted to a simple optimization problem with an eigenvalue-based objective function, which is solved by a tabu search algorithm. …"
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Uplink Noma in UAV-Assisted IoT Networks حسب Mrad, Ali

"…Given the complexity of the problem and the incomplete knowledge about the environment, the problem is divided into two subproblems: the first models the UAV trajectory and the selection of the first device in the NOMA cluster at each time slot as a Markov Decision Process, and uses Proximal Policy Optimization to solve it. The second device is then selected using a heuristic algorithm based on prioritizing devices with higher bit rate requirements and strict deadlines. …"
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