Online Control and Optimization of Directional Drilling حسب unknown

"…Gravitational Search Algorithm (GSA) is developed to search for optimal settings of the proposed controller. …"
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Environmental/economic power dispatch using multiobjective evolutionary algorithms حسب Abido, M.A.

"…The EED problem is formulated as a nonlinear constrained multiobjective optimization problem. A new strength Pareto evolutionary algorithm (SPEA) based approach is proposed to handle the EED as a true multiobjective optimization problem with competing and noncommensurable objectives. …"
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A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS حسب Youssef, H.

"…ABSTRACT The topology design of campus networks is a hard constrained combinatorial optimization problem. It consists of deciding the number, type, and location of the active network elements (nodes), and the links. …"
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OPTIMAL SHUNT COMPENSATORS AT NON-SINUSOIDAL BUSBARS حسب El-Amin, I.M.

"…The Direct Search Polytope algorithm is used. The solution of this model yields an optimal shunt LC compensator for the nonlinear lend. …"
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A new multiobjective evolutionary algorithm forenvironmental/economic power dispatch حسب Abido, A.A.

"…In this paper, a new multiobjective evolutionary algorithm for environmental/economic power dispatch (EED) optimization problem is presented. …"
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An analytical framework for high-speed hardware particle swarm optimization حسب El-Abd, Mohammed

"…Engineering optimization techniques are computationally intensive and can challenge implementations on tightly-constrained embedded systems. …"
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CFD Based Airfoil Shape Optimization for Aerodynamic Drag Reduction حسب Khot, Mohammed Taha Shafiq

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Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

"…Abstract The topology design of switched enterprise networks (SENs) is a hard constrained combinatorial optimization problem. The problem consists of deciding the number, types, and locations of the network active elements (hubs, switches, and routers), as well as the links and their capacities. …"
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Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

"…Abstract The topology design of switched enterprise networks (SENs) is a hard constrained combinatorial optimization problem. The problem consists of deciding the number, types, and locations of the network active elements (hubs, switches, and routers), as well as the links and their capacities. …"
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Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem حسب Haraty, Ramzi A.

"…Genetic algorithms were successfully useful to solve many optimization problems including the university Timetable Problem. …"
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A multi-objective planning approach for optimal DG allocation for droop based microgrids حسب Shaaban, Mostafa

"…This paper proposes a multi-objective planning approach to determine the optimal DG locations for droop-based microgrids. A secondary control operating region is mathematically formulated and incor-porated in the multi-objective optimization problem to constrain the optimal droop characteristic within the acceptable frequency and voltage thresholds. …"
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Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization حسب Hafez, Ishaq

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Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System حسب Alaa Altawallbeh (22565837)

"…We further propose a hybrid Particle Swarm Optimization (PSO) algorithm with a multi-objective cost function to optimize VSG controller gains. …"

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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The survey of cluster based data collection process for iot enabled wireless sensor network using several optimization technique حسب Abirami, R.

"…The study analyses nature-based metaheuristic methods such as the Genetic Algorithms, Particle Swarm Optimization, Firefly Optimization, Gray Wolf Optimization and Water-Cycle Algorithms, and specialised protocols of clustering, routing and data aggregation. …"
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Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP حسب Abdelhafez, Nada

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

"…In this paper, we present a capacity-constrained routing optimization approach to maximize the total evacuees for short notice evacuation planning in case of both natural and/or man-made disasters. …"
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2022 IEEE Congress on Evolutionary Computation (CEC) حسب El-Abd, Mohammed

"…We tested the performance of the proposed IMODEII by considering 12 benchmark functions with 10 and 20 variables taken from CEC2022 competition on single objective bound constrained numerical optimisation. A comparison between the proposed IMODEII and the state-of-the-art algorithms is conducted, with the results demonstrating the efficiency of the proposed IMODEII.…"
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Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids حسب Ahmed Ouammi (14151039)

"…The main objective is to formulate a constrained optimization problem embedded in a model predictive control (MPC) scheme to optimally control the operation of each microgrid to reduce/shave the peak load in case of occurrence, optimizing the power flows exchanges and energy storages, while ensuring a high quality of service to the EVs owners in each microgrid. …"

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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