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algorithm api » algorithm a (Expand Search), algorithm aoa (Expand Search), algorithm _ (Expand Search)
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1
Evolution Of Activation Functions for Neural Architecture Search
Published 2020“…However, to the best of our knowledge, the design of new activation functions has mostly been done by hand. In this work, we propose the use of a self-adaptive evolutionary algorithm that searches for new activation functions using a genetic programming approach, and we compare the performance of the obtained activation functions to ReLU. …”
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masterThesis -
2
Simultaneous stabilization of multimachine power systems viagenetic algorithms
Published 1999“…Two objective functions are presented, allowing the selection of the stabilizer parameters to shift some of the closed-loop eigenvalues to the left-hand side of a vertical line in the complex s-plane, or to a wedge-shape sector in the complex s-plane. …”
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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. An objective function is presented allowing the selection of the output feedback gains to place the closed-loop eigenvalues in the left-hand side of a vertical line in the complex s-plane while shifting a specific mode of oscillation to a vertical strip and with bounds on the damping ratio. …”
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4
Evolutionary algorithms, simulated annealing and tabu search: a comparative study
Published 2020“…Abstract Evolutionary algorithms, simulated annealing (SA), and tabu search (TS) are general iterative algorithms for combinatorial optimization. …”
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Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem
Published 2023“…The measurements and track generation are simulated using Stone Soup software. On the other hand, the optimization of the problem is implemented using several evolutionary-based metaheuristic algorithms. …”
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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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Power system output feedback stabilizer design via geneticalgorithms
Published 1997“…Two methods are presented: in the first method, the problem is formulated as an optimization problem with a standard infinite time quadratic objective function. A digital simulation of the power system is then used in conjunction with the genetic algorithm to determine the output feedback gains. …”
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Autonomous Robot Navigation Based On Recurrent Neural Networks
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doctoralThesis -
10
Joint distributed synchronization and positioning in UWB ad hoc networks using TOA
Published 2006“…Finally, the proposed distributed maximum log-likelihood algorithm proves to preserve a reasonable level of complexity in each node by approximating asynchronously the positive gradient direction of the log-likelihood function. …”
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Axes-Based Encryption Key
Published 2018“…Several algorithms are applied to serve the goal, and promising results have been recuperated. …”
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conferenceObject -
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Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System
Published 2009Get full text
doctoralThesis -
13
Robust tuning of power system stabilizers in multimachine powersystems
Published 2000“…The objective function allows the selection of the stabilizer parameters to optimally place the closed-loop eigenvalues in the left-hand side of a vertical line in the complex s-plane. …”
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14
Economic Production Lot-Sizing For An Unreliable Machine Under Imperfect Age-Based Maintenance Policy
Published 2020“…An algorithm is also proposed to find the optimal solutions to the problem at hand. …”
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Decision-level fusion for single-view gait recognition with various carrying and clothing conditions
Published 2017“…Gait samples are fed into the MPCA and MPCALDA algorithms using a novel tensor-based form of the gait images. …”
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Improving the Resilience of Smart Distribution Networks against Cyber Attacks
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doctoralThesis -
17
Decision-level Gait Fusion for Human Identification at a Distance
Published 2014Get full text
doctoralThesis -
18
Design of a TE-pass reflection mode optical polarizer
Published 2003“…Guided TE-polarized waves are highly reflected at the input end of this polarizer. On the other hand guided TM-polarized waves experience very low reflection at the same input end. …”
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