A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem حسب Abu Zitar, Raed

"…Due to the complex nature of the capacitated vehicle routingproblem, metaheuristic optimization algorithms are widely used for tackling this type of challenge.Coronavirus Herd Immunity Optimizer (CHIO) is a recent metaheuristic population-based algorithm thatmimics the COVID-19 herd immunity treatment strategy. …"
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Economic load dispatch multiobjective optimization procedures usinglinear programming techniques حسب Farag, A.

"…This paper outlines the optimization problem of real and reactive power, and presents the new algorithm for studying the load shedding and generation reallocation problem in emergencies where a portion of the transmission system is disabled and an AC power solution cannot be found for the overloaded system. …"
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Fuzzy simulated evolution for power and performance optimization ofVLSI placement حسب Sait, Sadiq M.

"…This is a hard multiobjective combinatorial optimization problem with no known exact and efficient algorithm that can guarantee finding a solution of specific or desirable quality. …"
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Drones Tracking Adaptation Using Reinforcement Learning: Proximal Policy optimization حسب Alhadhrami, Esra Ebrahim

"…The Q value plays a crucial role in estimating future state values within a Kalman filter tracking system. Proximal Policy Optimization (PPO), a state-of-the-art policy optimization algorithm, was employed to determine the optimal Q value that enhances tracking performance, as measured by Root Mean Square Error (RMSE). …"
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Optimization of Battery Electric Bus Charging under Varying Operating Conditions حسب Basma, Hussein

"…This paper proposes an optimization algorithm based on Dynamic Programming that minimizes the total BEB energy costs and battery replacement costs by optimally controlling the BEB daily charging power throughout the year, considering the varying operating conditions. …"
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A new minimum curvator multi-step method for unconstrained optimization حسب Obeid, Samir

"…Multistep quasi-Newton methods for optimization were derived by J. A. Ford and I. A. Moghrabi [J. …"
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A hybrid Harris Hawks optimizer for economic load dispatch problems حسب Al-Betar, Mohammed Azmi

"…This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. …"
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Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies حسب Mohamed, Eman

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Energy removal in dynamical systems through an optimal sequence of constraint application حسب Issa, Jimmy

"…The optimization process is illustrated by means of simple mass-spring and membrane systems and the corresponding problems are solved using a genetic algorithm.…"
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Energy Hub Optimal Scheduling and Management in the Day-Ahead Market Considering Renewable Energy Sources, CHP, Electric Vehicles, and Storage Systems Using Improved Fick’s Law Algorithm حسب Ali S. Alghamdi (12722891)

الموضوعات:

Methods for system-on-chip test design, scheduling and optimization. (c2006) حسب Farah, Rana

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Optimized provisioning of edge computing resources with heterogeneous workload in IoT networks حسب Kherraf, Nouha

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A clustering metaheuristic for large orienteering problems حسب Almiqdad Elzein (13141038)

الموضوعات:

A decentralized load balancing approach for parallel search-tree optimization حسب Abu-Khzam, F.N.

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Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization حسب Hafez, Ishaq

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Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling حسب Majed Hadid (17148364)

"…A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. …"

A multi-objective planning approach for optimal DG allocation for droop based microgrids حسب Shaaban, Mostafa

"…The proposed formulation is compared to existing planning algorithms for droop-based microgrids. The re-sults show that including the secondary control region in the optimization problem achieves lower volt-age deviations and no frequency deviations at all demand levels. …"
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Fuzzy Logic Adaptive Crow Search Algorithm for MPPT of a Partially Shaded Photovoltaic System حسب Mohamed Ali Zeddini (22047920)

الموضوعات:

Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices حسب Khawam, Yahya Bader

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Exploiting Sparsity in Amplify-and-Forward Broadband Multiple Relay Selection حسب Ala Gouissem (7006463)

الموضوعات: