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algorithm goa » algorithm fa (Expand Search), algorithm _ (Expand Search), algorithms a (Expand Search)
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101
Fragment-based computational protein structure prediction
Published 2014“…The method is based on a two-phase Scatter Search algorithm that minimizes the energy function. …”
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conferenceObject -
102
Scatter search for protein structure prediction. (c2008)
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masterThesis -
103
Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…The goal is to select a set of sensors based on norms of weighted distances cost function. …”
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104
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
Published 2022“…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …”
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105
Upgraded SemIndex Prototype Supporting Intelligent Database Keyword Queries through Disambiguation, Query as You Type, and Parallel Search Algorithms
Published 2018“…Here, we build on top of SemIndex, a semantic-aware inverted index previously developed by our team, to allow semantic-aware search, result selection, and result ranking functionality. Various weighting functions and intelligent search algorithms have been developed for that purpose and will be presented here. …”
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conferenceObject -
106
ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation
Published 2022“…The best solutions adopted in this situation are often based on optimization algorithms that generate the controller’s gains in each period where there is an internal or external perturbation, adapting the behaviors of the PID against the system’s nonlinearity. …”
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107
Autonomous Robot Navigation Based On Recurrent Neural Networks
Published 2012Get full text
doctoralThesis -
108
Fragment based protein structure prediction. (c2013)
Published 2016“…In addition, it demonstrates the advantage of using the CHARMM36 energy model. The method is based on a two-phase Scatter Search metaheuristic that minimizes the energy function. …”
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masterThesis -
109
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110
CFD Based Airfoil Shape Optimization for Aerodynamic Drag Reduction
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doctoralThesis -
111
Design of adaptive arrays based on element position perturbations
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112
Single channel speech denoising by DDPG reinforcement learning agent
Published 2025“…In this paper, a novel SD algorithm is presented based on the deep deterministic policy gradient (DDPG) agent; an off-policy reinforcement learning (RL) agent with a continuous action space. …”
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113
Coordinated design of robust excitation and TCSC-based damping controllers
Published 2003“…The coordinated design problem of robust excitation and TCSC-based controllers over a wide range of loading conditions and system configuration is formulated as an optimization problem with an eigenvalue-based objective function. …”
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114
Second-order conic programming for data envelopment analysis models
Published 2022“…Moreover, it presents an algorithm that solves the former problem, and provides a MATLAB function associated with it. …”
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115
Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery
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doctoralThesis -
116
Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems
Published 2022“…This optimization technique modifies the base algorithm (DMO) in three simple but effective ways. …”
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117
Iterative Methods for the Solution of a Steady State Biofilter Model
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doctoralThesis -
118
A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT
Published 2023“…This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …”
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119
IMPROVING BER PERFORMANCE OF LDPC CODES BASED ON INTERMEDIATE DECODING RESULTS
Published 2007“…The behavior of the BP algorithm is first investigated as a function of number of decoder iterations, and it is shown that typical uncorrected error patterns can be classified into 3 categories: oscillating, nearly-constant, or random-like, with a predominance of oscillating patterns at high Signal-to-Noise (SNR) values. …”
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120
A novel network-based SIS framework for improved GA performance
Published 2025“…Then, infected nodes can spread their genetic traits to neighboring susceptible nodes through basic genetic algorithm operations within the SIS framework and based on defined probabilities. …”
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masterThesis