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algorithm both » algorithm goa (Expand Search), algorithm aoa (Expand Search)
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81
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 -
82
Optimized provisioning of edge computing resources with heterogeneous workload in IoT networks
Published 2019“…We analyze the effectiveness of the proposed algorithm through extensive simulations and highlight valuable performance trends and trade-offs as a function of various system parameters.…”
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83
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
Published 2019“…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …”
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84
Oversampling techniques for imbalanced data in regression
Published 2024“…For such high-dimension data our approach outperforms the Synthetic Minority Oversampling Technique for Regression (SMOTER) algorithm for the IMDB-WIKI and AgeDB image datasets. …”
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85
Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers
Published 2023“…The OSF detection and localization algorithm is implemented based on the dynamic response difference between the physical system and its DT. …”
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86
Improving the Resilience of Smart Distribution Networks against Cyber Attacks
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doctoralThesis -
87
DRL-Based IRS-Assisted Secure Hybrid Visible Light and mmWave Communications
Published 2024“…The system comprises four VLC access points with light fixtures, reinforced by a mirror array sheet, and a mmWave access point with antennas, supported by a reflecting unit sheet. Within the system, both sheets function as IRS. The aim is to enhance the secrecy capacity (SC) of the system by optimizing the beamforming weights at the VLC fixtures, the beamforming weights at the mmWave AP, the mirror array configurations, and the phase shift vector while meeting specific power constraints. …”
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88
Particle swarm optimization approach for protein structure prediction in the 3D HP model
Published 2012“…Proteins fold, under the influence of several chemical and physical factors, into their 3D structures, which determine their biological functions and properties. Misfolding occurs when the protein folds into a 3D structure that does not represent its native structure, which can lead to diseases. …”
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89
Regression testing web services-based applications
Published 2006“…Our algorithm selects every test sequence that corresponds to a different behavior in the modified system. …”
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conferenceObject -
90
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. …”
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91
Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment
Published 2023“…A robust model predictive control strategy, based on the minimax objective function and particle swarm optimisation algorithm, is developed to handle the uncertainties in the system. …”
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92
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 (AAS-P&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. …”
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93
Fixed set search applied to the multi-objective minimum weighted vertex cover problem
Published 2022“…One important characteristic of the proposed GRASP is that it avoids the use of weighted sums of objective functions in the local search and the greedy algorithm. …”
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94
VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems
Published 2019“…However, NNGE algorithm tends to produce rules that test a large number of input features. …”
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95
Developing a Cooperative Behavior for Multi Agents System Application to Robot Soccer
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doctoralThesis -
96
R-CONV++: uncovering privacy vulnerabilities through analytical gradient inversion attacks
Published 2025“…Building on this foundation, the second algorithm extends this analytical approach to support high-dimensional input data, substantially enhancing its utility across complex real-world datasets. …”
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Iterative heuristics for multiobjective VLSI standard cellplacement
Published 2001“…A series of experiments is performed to study the effect of important algorithmic parameters of GA and TS. Both the techniques are applied to ISCAS-85/89 benchmark circuits and experimental results are reported and compared…”
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99
EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING
Published 2020“…Fuzzy rules are incorporated in order to design a multiobjective cost function. Both the techniques are applied to ISCAS-85/89 benchmark circuits and experimental results are reported and compared.…”
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100
General iterative heuristics for VLSI multiobjective partitioning
Published 2003“…These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) and incorporate fuzzy rules in order to handle the multiobjective cost function. …”
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