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101
Evolutionary algorithm for protein structure prediction
Published 2010“…A protein is characterized by its 3D structure, which defines its biological function. …”
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conferenceObject -
102
A non-convex economic load dispatch problem using chameleon swarm algorithm with roulette wheel and Levy flight methods
Published 2023“…In this paper, several enhancements were made to this algorithm. First, it’s position updating process was slightly tweaked and took advantage of the chameleons’ randomization as well as adopting several time-varying functions. …”
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LINE SEARCH TECHNIQUES FOR THE LOGARITHMIC BARRIER FUNCTION IN QUADRATIC-PROGRAMMING
Published 2020“…In this paper, we propose a line-search procedure for the logarithmic barrier function in the context of an interior point algorithm for convex quadratic programming. …”
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105
Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV
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doctoralThesis -
106
Bridge Structural Health Monitoring Using Mobile Sensor Networks
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doctoralThesis -
107
Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts
Published 2022“…So far none addresses the use of Threat Intelligence (IT) data in Ensemble Learning algorithms to improve the detection process, nor does it work as a function of time, that is, taking into account what happens on the network in a limited time interval. …”
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108
Ensemble Deep Random Vector Functional Link Neural Network for Regression
Published 2022“…The esc-edRVFL is identified as the best-performing algorithm through a comprehensive evaluation of 31 UCI datasets.…”
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109
Simultaneous stabilization of multimachine power systems viagenetic algorithms
Published 1999“…The power system operating at various conditions is treated as a finite set of plants. The problem of selecting the parameters of power system stabilizers which simultaneously stabilize this set of plants is converted to a simple optimization problem which is solved by a genetic algorithm with an eigenvalue-based objective function. …”
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110
Distributed dimension reduction algorithms for widely dispersed data
Published 2002“…Stress function measurements indicate that the distributed algorithm is highly competitive with the original FastMap heuristic.…”
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conferenceObject -
111
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Optimization Techniques for Directional Overcurrent Relay Coordination: A Comprehensive Review
Published 2023“…It covers a wide range of techniques, including conventional and deterministic methods, metaheuristic algorithms, and hybrid approaches. …”
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114
A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities
Published 2021“…To solve the proposed model, four meta-heuristic algorithms, namely multi-objective particle swarm optimization (MOPSO), a non-dominated sorting genetic algorithm (NSGA-II), a hybrid of k-medoids as a famous clustering algorithm and NSGA-II (KNSGA-II), and a hybrid of K-medoids and MOPSO (KMOPSO) are implemented. …”
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115
An Evolutionary Algorithm for the Allocation Problem in High-Level Synthesis
Published 2005“…The system handles multicycle functional units as well as structural pipelining. The proposed method was implemented using C++ on a Linux workstation. …”
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116
An Artificial Neural Network for Online Tuning of Genetic Algorithm Based PI Controller for Interior Permanent Magnet Synchronous Motor–Drive
Published 2006“…An artificial neural network (ANN) for online tuning of a genetic algorithm based PI controller for interior permanent magnet synchronous motor (IPMSM) drive is presented in this paper. …”
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117
Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements
Published 2020“…The convergence analysis of the proposed recursive identification algorithm utilizes stochastic Lyapunov functions. Sufficient conditions for the almost sure convergence of the estimated parameters to the true ones are obtained.…”
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118
Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems
Published 2020“…The task of selecting the output feedback gains is converted to a simple optimization problem with an eigenvaluebased objective function, which is solved by a genetic algorithm. …”
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119
Genetic and heuristic algorithms for regrouping service sites. (c2000)
Published 2000Get full text
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masterThesis -
120
Time-varying volatility model equipped with regime switching factor: valuation of option price written on energy futures
Published 2025“…We develop a semi-analytical method to determine the price of European options on these energy futures, involving the derivation of the characteristic function for the energy futures' dynamics. …”
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