Optimality of first-order ILC among higher order ILC حسب Saab, Samer S.

"…Higher order iterative learning control (HO-ILC) algorithms use past system control information from more than one past iterative cycle. …"
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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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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 new minimum curvator multi-step method for unconstrained optimization حسب Obeid, Samir

"…It is shown how such value can be “cheaply” calculated at each iteration. Numerical comparison between the new algorithm and other multistep algorithms reveal the merits of the new approach.…"
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Resource Optimization for 3D Video SoftCast with Joint Texture/Depth Power Allocation حسب Saqr Khalil Saeed Thabet (19517560)

"…Then, a minimum distortion optimization algorithm iteratively computes all the possible resource allocations to find the optimal allocation based on the minimum distortion. …"

Scatter search for protein structure prediction. (c2008) حسب Kehyayan, Christine Houry

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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. …"
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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. …"

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

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. …"

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. …"
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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. …"
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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. …"
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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. …"
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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. …"
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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. …"
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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. …"
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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. …"
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