Fault-Tolerant Network Topologies for Datacenters حسب Attia, Heba Mahmoud Helal

احصل على النص الكامل

Dynamic Cyber Resilience of Interdependent Critical Information Infrastructures حسب JUMA, MAZEN GHAZI

"…The technology stack was also enhanced with three new algorithms and five protocols. The proposed solution was optimized using the iterative four-objective cycle based on previous primary phase results. …"
احصل على النص الكامل

An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution Networks حسب Mohammad Zain Ul Abideen (16904637)

"…Therefore, it is imperative to account for these adverse effects of the integration of DERs on the distribution network and minimize their impact when calculating the Hosting Capacity (HC). Two algorithms are presented in this study derived from a novel modified iterative method and a novel Repeated Particle Swarm Optimization (RPSO) method for determining the HC for multiple DER units simultaneously or a single DER unit integrating into radial or mesh networks. …"

A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks حسب Sakib Mahmud (15302404)

"…<p>The energy internet (EI) is evolving toward decentralized, data-rich, and time-critical operation, where legacy optimization often fails to meet complexity, scalability, and real-time constraints. …"

Effective dispatch strategies assortment according to the effect of the operation for an islanded hybrid microgrid حسب Sk.A. Shezan (21323048)

"…The proposed off-grid microgrid's CO₂emissions, total net present cost (NPC), and the Levelized cost of energy (LCOE) have all been optimized. In HOMER software, all the possible dispatch algorithms were analyzed, and the power system responses and reliability study were carried out using DIgSILENT PowerFactory. …"

Prediction the performance of multistage moving bed biological process using artificial neural network (ANN) حسب Fares Almomani (12585685)

A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks حسب Umesh Kumar Lilhore (17727684)

"…The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. In the proposed energy-efficient routing protocol, an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation that helps determine the nodes. …"

Adaptive temperature control of a reverse flow process by using reinforcement learning approach حسب A. Binid (22046054)

"…First, a policy iteration algorithm is introduced to learn the optimal solution of the associated linear-quadratic control problem online. …"

An Ultrafast Maximum Power Point Setting Scheme for Photovoltaic Arrays Using Model Parameter Identification حسب Zhaohui Cen (17217391)

"…Unfortunately, conventional MPPT algorithms such as perturb and observe (P&O), incremental conductance, and current sweep method need to iterate command current or voltage and frequently operate power converters with associated losses. …"

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. …"

Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems حسب Khaled Dhibi (16891524)

Simulated evolution for timing and low power VLSI standard cell placement حسب Sait, Sadiq M.

"…For this hard multiobjective combinatorial optimization problem, no known exact and efficient algorithms exist that guarantee finding a solution of specific or desirable quality. …"
احصل على النص الكامل

FAST FUZZY FORCE-DIRECTED/SIMULATED EVOLUTION METAHEURISTIC FOR MULTIOBJECTIVE VLSI CELL PLACEMENT حسب Sait, Sadiq M.

"…The cell placement problem is a proven NP hard combinatorial optimization problem. The complexity of this problem increases when multiple optimization objectives are considered simultaneously. …"
احصل على النص الكامل

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

"…In this work, a fast hybrid algorithm is designed to address this problem. The algorithm employs simulated evolution (SE), an iterative search heuristic that comprises three steps: evaluation, selection and allocation. …"
احصل على النص الكامل
احصل على النص الكامل

Multidimensional Gains for Stochastic Approximation حسب Saab, Samer S.

"…The two algorithms assume full knowledge of the Jacobian. The recursive algorithms are proposed for generating the optimal iterative-dependent matrix gain. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Singularly perturbed nonlinear ODEs and interior point optimizationalgorithms حسب Ezzine, J.

"…This paper explores the continuous realizations of iterative processes emanating from interior point optimization algorithms, and their connection with nonlinear singularly-perturbed ordinary differential equations. …"
احصل على النص الكامل
احصل على النص الكامل

A Stochastic Newton-Raphson Method with Noisy Function Measurements حسب Saab, Khaled Kamal

"…This article proposes a novel recursive algorithm providing optimal iterative-varying gains associated with the NR method. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Parallelization of Stochastic Evolution حسب Khan, Khawar

"…The complexity involved in VLSI design and its sub-problems has always made them ideal application areas for non-eterministic iterative heuristics. However, the major drawback has been the large runtime involved in reaching acceptable solutions especially in the case of multi-objective optimization problems. …"
احصل على النص الكامل

Random vector functional link network: Recent developments, applications, and future directions حسب A.K. Malik (16003193)

"…Generally, the back propagation (BP) based iterative approaches are used to train the neural networks, however, it results in the issues of local minima, sensitivity to learning rate and slow convergence. …"

EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING حسب Sait, Sadiq M.

"…Furthermore, with current trends partitioning has become a multi-objective problem, where power, delay and area in addition to minimum cut, need to be optimized. In this paper we employ two iterative heuristics for the optimization of VLSI Netlist Bi-Partitioning. …"
احصل على النص الكامل