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algorithm pre » algorithm _ (Expand Search), algorithm fa (Expand Search), algorithm goa (Expand Search)
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Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…This hybrid approach, the Improved Prairie Dog Optimization Algorithm (IPDOA) with the Genetic Algorithm (GA), utilizes the strengths of both algorithms to improve the overall optimization performance. …”
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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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Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems
Published 2022“…This paper proposes a modified version of the Dwarf Mongoose Optimization Algorithm (IDMO) for constrained engineering design problems. …”
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Iterative Methods for the Solution of a Steady State Biofilter Model
Published 2017Get full text
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Brain Source Localization in the Presence of Leadfield Perturbations
Published 2015Get full text
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Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence
Published 2020“…Each cluster in the swarm has its own cluster best position which is the best position within a cluster and the global best position is located by clusters communication. …”
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Bridge Structural Health Monitoring Using Mobile Sensor Networks
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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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The Use of Enumerative Techniques in Topological Optimization of Computer Networks Subject to Fault Tolerance and Reliability
Published 2003“…It is shown that improving the fault tolerance of a network can be achieved while optimizing its reliability however at the expense of a reasonable increase in the overall cost of the network while remaining within a maximum pre-specified cost constraint.…”
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Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network
Published 2020“…An Artificial neural network (ANN) algorithm was developed to model and optimize the cumulative methane production (CMP) from ASWs, CM, and their mixture under mesophilic and thermophilic conditions. …”
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Power system output feedback stabilizer design via geneticalgorithms
Published 1997“…Various objective functions are 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, within an open sector in the complex s plane, or within a vertical strip in the complex s plane. …”
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Multidimensional Gains for Stochastic Approximation
Published 2019“…Two algorithms are proposed: one for the case where M≥ N and the second one for the antithesis. …”
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Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems
Published 2009Get full text
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A modified optimal design of a vibration absorber for ground motion isolation
Published 2014“…The optimal parameters are plotted and several examples are considered where the objective function is plotted in its approximate and exact optimal shapes.…”
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Autonomous Robot Navigation Based On Recurrent Neural Networks
Published 2012Get full text
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UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices
Published 2019“…Next, we propose an extension algorithm to further minimize the UAV’s flight distance for cases where the initial and final UAV locations are known a priori. …”
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Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network
Published 2024“…These algorithms include random forest (RF) classification and artificial neural networks (ANN). …”