The multi-parameterized cluster editing problem حسب Abu-Khzam, Faisal N.

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Evacuation of a highly congested urban city حسب El Khoury, John

"…The algorithm uses Dijkstras algorithm to find the shortest path(s) and a modified greedy algorithm to assign maximum flows to selected paths given a specific schedule per time interval. …"
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Studying cooperative multi-agent reinforcement learning in networks حسب Oudah, Mayada Mohamed

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Robust Kalman filter and smoother for errors-in-variables model with observation outliers based on Least-Trimmed-Squares حسب ALMutawa, Jaafar

"…Since the LTS is combinatorial optimization problem the randomized algorithm has been proposed in order to achieve the optimal estimate. …"
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Charge and reduce حسب Abu-Khzam, Faisal N.

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Scheduling and allocation in high-level synthesis using stochastic techniques حسب Sait, Sadiq M.

"…Scheduling and allocation can be formulated as an optimization problem. In this work, a unique approach to scheduling and allocation problem using the genetic algorithm (GA) is described. …"
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EV Charging Coordination in Blockchain-Based Energy Markets حسب Mohammed, Mahdi Ali

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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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Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement حسب Sait, Sadiq M.

"…VLSI standard cell placement is a hard optimization problem, which is further complicated with new issues such as power dissipation and performance. …"
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AI-Augmented Metasurface Synthesis for Dynamic Beam Steering in Reconfigurable Antenna Arrays حسب Bostani, Ali

"…As compared to the conventional heuristic methods, for example, genetic algorithms (GA), particle swarm optimization (PSO), the approach based on DRLs has rapid policy convergence, has relatively less computational latency, and is autonomous to adapt to dynamic wireless conditions. …"
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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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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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Finite state machine state assignment for area and power minimization حسب El-Maleh, A.

"…The objectives are targeted as single/independent as well as multi-objective optimization (MOP) problems. Methods for estimating area and power of an FSM are presented. …"
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Graph Contraction for Mapping Data on Parallel Computers حسب Mansour, N.

"…We then present experimental results on using contracted graphs as inputs to two physical optimization methods; namely, genetic algorithm and simulated annealing. …"
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Fixed set search applied to the multi-objective minimum weighted vertex cover problem حسب Raka Jovanovic (17947838)

"…In recent publications, its efficiency has been shown on different types of combinatorial optimization problems like routing, machine scheduling and covering. …"

Energy-Aware Physical Synthesis of Deep Neural Networks for Edge-AI Applications in Robotics and VLSI Systems حسب Arulprakash, Enoch

"…Energy-aware physical synthesis is essential for deploying deep neural networks (DNNs) in edge-AI applications for robotics and VLSI systems, where stringent power, area, and latency constraints prevail. Beyond algorithm-and software-level optimizations such as network compression and compiler techniques, the physical effects during VLSI imple-mentation including clock tree synthesis (CTS), routing congestion, IR-drop, cell sizing, and placement significantly influence energy consumption and timing closure. …"
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"Particle swarm based design of variable structure stabilizer for a nonlinear model of SMIB system" حسب Al-Duwaish, H.

"…Unlike the methods reported in the literature which involve either linearizing the model of synchronous machine around a suitable operation point or applying nonlinear transformation techniques before linear control theory is used in designing a fixed parameter PSS, the present method formulates the design of VSC as an optimization problem and utilized the PSO algorithm to provide a simple and systematic way of arriving at the optimal feedback gains and switching vector values of the stabilizer. …"
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Iterative heuristics for multiobjective VLSI standard cellplacement حسب Sait, Sadiq M.

"…We employ two iterative heuristics for the optimization of VLSI standard cell placement. These heuristics are based on genetic algorithms (GA) and tabu search (TS) respectively. …"
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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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