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121
Metaheuristic Optimization‐Based Sliding Mode Control With Modified Perturb and Observe for Controlling MPPT of a PV Interfaced Grid Connected System
Published 2025“…Also, the proposed hybrid (MGO‐MPb&O) is compared with two other hybrid control topologies that are (PSO‐MPb&O) and (cuckoo search algorithm [CSA]‐MPb&O) in terms of maximum power extracted, efficiency, and convergence time of the objective function. …”
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122
Shuffled Linear Regression with Erroneous Observations
Published 2019“…We propose an optimal recursive algorithm that updates the estimate from the underdetermined function that is based on that permutation-invariant constraint. …”
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conferenceObject -
123
A modified optimal design of a vibration absorber for ground motion isolation
Published 2014“…Then, the optimal damping ratio is obtained from the average of the two suboptimal damping ratios. …”
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conferenceObject -
124
Improving the Resilience of Smart Distribution Networks against Cyber Attacks
Published 2022Get full text
doctoralThesis -
125
Autonomous Robot Navigation Based On Recurrent Neural Networks
Published 2012Get full text
doctoralThesis -
126
Fragment based protein structure prediction. (c2013)
Published 2016“…The method is based on a two-phase Scatter Search metaheuristic that minimizes the energy function. Backbone fragments selections extracted from the Robetta server are followed by side chain selections, extracted from the Dunbrack Library. …”
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masterThesis -
127
Iterative heuristics for multiobjective VLSI standard cellplacement
Published 2001“…Fuzzy rules are incorporated in order to design a multiobjective cost function that integrates the costs of three objectives in a single overall cost value. …”
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128
Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System
Published 2025“…We further propose a hybrid Particle Swarm Optimization (PSO) algorithm with a multi-objective cost function to optimize VSG controller gains. …”
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129
A microscale evaluation of pavement roughness effects for asset management
Published 2013“…In this paper, the authors present a method to automate data collection and mapping of pavement roughness on various functional classification roadways and to quantify fuel consumption for enhanced benefit-to-cost analysis, asset management and infrastructure investment strategies. …”
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130
Weak-coupling, strong-coupling and large-order parametrization of the hypergeometric-Meijer approximants
Published 2020“…To test the validity of that constraint, we employed it to obtain the exact partition function of the zero-dimensional Ø<sup>4</sup> scalar field theory. …”
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131
Simulations of the penetration of 6061-T6511 aluminum targets by spherical-nosed VAR 4340 steel projectiles
Published 2000“…In this paper a forcing function which is derived from a spherical-cavity expansion (SCE) analysis has been implemented in a transient dynamic finite element code. …”
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132
Optimizing Aircraft Pitch Control Systems: A Novel Approach Integrating Artificial Rabbits Optimizer with PID-F Controller
Published 2024“…Comparative analysis with various optimization algorithm-based controllers from the literature demonstrates the effectiveness of the proposed technique. …”
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133
Parallel tabu search in a heterogeneous environment
Published 2003“…We discuss a parallel tabu search algorithm with implementation in a heterogeneous environment. …”
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134
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
Published 2019“…In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …”
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135
A simulated evolution approach to task-matching and scheduling in heterogeneous computing environments
Published 2020“…The various steps of the SE approach are discussed in details. Goodness functions required by SE are designed and explained. …”
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136
Reinforcement Learning-Based School Energy Management System
Published 2020“…In recent years, the Deep Reinforcement Learning algorithm, applying neural networks for function approximation, shows promising results in handling such complex problems. …”
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137
Online Control and Optimization of Directional Drilling
Published 2020“…The objective function considered is to minimize the tracking error and drilling efforts. …”
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masterThesis -
138
On-demand deployment of multiple aerial base stations for traffic offloading and network recovery
Published 2019“…We present performance results for the proposed algorithm as a function of various system parameters and demonstrate its effectiveness compared to the close-to-optimal greedy approach and its superiority compared to recent related work from the literature.…”
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139
Blood Glucose Regulation Modelling and Intelligent Control
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doctoralThesis -
140
Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems
Published 2023“…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AASP&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …”