Navigating the Landscape of Deep Reinforcement Learning for Power System Stability Control: A Review حسب Mohamed Sadok Massaoudi (17984071)

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Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms حسب Marwan Dhuheir (19170898)

"…Our approach is tested on CNN networks and benchmarked against state-of-the-art conventional reinforcement learning algorithms. Extensive simulations show that our model outperforms competitive methods by around 29% in terms of latency and around 23% in terms of transmission power improvements while delivering results comparable to the traditional LDTP optimization solution by around 9% in terms of latency.…"

Fuzzy genetic algorithm for floorplanning حسب Youssef, H.

"…Genetic algorithms (GAs) have been found to be very effective in solving numerous optimization problems, especially those with many (possibly) conflicting and noisy objectives. …"
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Prediction the performance of multistage moving bed biological process using artificial neural network (ANN) حسب Fares Almomani (12585685)

Developing a resilient framework for electric vehicle charging stations harnessing solar energy, standby batteries and grid integration with advanced control mechanisms حسب Debabrata Mazumdar (18560506)

"…Consequently, this article presents and evaluates a system that utilizes a proportional‐integral‐derivative controller, a neural network‐equipped grid and a charging station utilizing a Dragon Fly Optimization Algorithm to generate power and a maximum power point tracking controller. …"

Adaptive PPO With Multi-Armed Bandit Clipping and Meta-Control for Robust Power Grid Operation Under Adversarial Attacks حسب Mohamed Massaoudi (16888710)

"…This paper proposes a novel composite enhanced proximal policy optimization (CePPO) algorithm to improve power grid operation under adversarial conditions. …"

Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning حسب Sait, Sadiq M.

"…Further, we compared the results of the iterative heuristics with a modified FM algorithm, named PowerFM, which targets power optimization. …"
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Stochastic evolution algorithm for technology mapping حسب Al-Mulhem, A.S.

"…SELF-Map is based on the Stochastic Evolution (SE) algorithm. The state space model of the problem is defined and suitable cost function which allows optimization for area, delay, or area-delay combinations is proposed. …"
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An evolutionary algorithm for network topology design حسب Youssef, H.

"…The topology design of campus networks is a hard constrained combinatorial optimization problem, dictated by physical and technological constraints and must optimize several objectives. …"
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Exam scheduling algorithms. (c1999) حسب Mikati, Ziad

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Parallel metaheuristic algorithm for exam timetabling حسب Mansour, Nashat

"…For large numbers of exams and students, sequential algorithms are likely to be time consuming. The purpose of this work is to present a parallel metaheuristic algorithm for producing good sub-optimal exam timetables in a reasonable time. …"
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Hybrid Interval Type-2 Fuzzy PID+I Controller for a Multi-DOF Oilwell Drill-String System حسب Abdelbaset Laib (16904688)

"…<p>The control of multibody drill-string systems is not easy and designing such systems is considered challenging because of the difficulty in the dynamic analysis of its nonlinear characteristics and parametric uncertainties. An optimal hybrid interval Type-2 fuzzy PID+I logic controller (OH-IT2FPID+I) using a practical swarm optimization algorithm for a multi-degree-of-freedom oil well drill-string system is proposed in this paper. …"

Scalable Parallel Algorithms for FPT Problems حسب Abu-Khzam, Faisal N.

"…As a case study, optimal solutions to very large instances of the NP-hard vertex cover problem are computed. …"
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Impact of Charging Electric Vehicles under Different State of Charge Levels and Extreme Conditions حسب Claude Ziad El-Bayeh (17542284)

"…This paper defines extreme conditions as the state of a load or network that breaks the limits of the constraints in an optimization model. Once these constraints are violated, the optimization algorithm might not work correctly and might not converge to a feasible solution, especially when the complexity of the system increases and includes nonlinearities. …"

Dynamic performance evaluation and machine learning-assisted optimization of a solar-driven system integrated with PCM-based thermal energy storage: A case study approach حسب Haitham Osman (11737057)

"…A comprehensive techno-economic analysis is conducted, supported by a machine learning-assisted optimization framework that combines artificial neural networks with genetic algorithms. …"

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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Incremental & classical genetic algorithm. (c2001) حسب Awad, Mohamad M.

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Scalable parallel algorithms for difficult combinatorial problems حسب Abu-Khzam, Faisal N.

"…A novel combination of emergent algorithmic methods, powerful computational platforms and supporting infrastructure is described. …"
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A new multimodulus blind equalization algorithm حسب Abrar, Shafayat

"…The phase-recovery and intersymbol interference optimization properties, exhibited by the proposed algorithm, are also discussed.…"
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A simulated annealing algorithm for unit commitment حسب Mantawy, A.H.

"…This paper presents a simulated annealing algorithm (SAA) to solve the unit commitment problem (UCP). …"
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