Search Results - ((control optimization) OR (evolution optimization)) techniques
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1
Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization
Published 2013“…These techniques have been used to optimize control points and weights in the description of spline functions used. …”
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Performance comparison of differential evolution and particle swarm optimization in constrained optimization
Published 2012“…Particle swarm optimization (PSO) and differential evolution (DE) are among the well-known modern optimization algorithms. …”
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Investigation and validation of an eleven level symmetric modular multilevel inverter using grey wolf optimization and differential evolution control algorithm for solar PV applica...
Published 2021“…Purpose: This paper aims to examine the design and control of a symmetric multilevel inverter (MLI) using grey wolf optimization and differential evolution algorithms. …”
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Optimizing of PID controller for flexible link system using a Pareto-based Multi-objective differential (PMODE) evolution
Published 2011“…This can be viewed like many other real-life control problems as a multi-objectives optimization problem in which an optimal compromise between the design objectives is required. …”
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DE-based robust controller design for helicopter cruise control
Published 2014“…This paper presents a robust state feedback controller tuning via constrained optimization using DE (differential evolution). …”
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Comparative study of optimal power flow using evolutionary programming and immune evolutionary programming technique in power system / Mohd Khairil Izwan Md Daim
Published 2006“…This project presents a new technique for solving the optimal power flow problem, in a power system using an Evolutionary Programming and Immune Evolution Programming optimization technique. …”
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Optimization of PID controller for flexible link system using a pareto-based multi-objective differential (PMODE) evolution
Published 2011“…This can be viewed like many other reallife control problems as a multi-objectives optimization problem in which an optimal compromise between the design objectives is required. …”
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8
DE-based Robust Feedback Controller for Longitudinal Cruise Control of Helicopter
Published 2011“…This paper presents a robust state feedback controller tuning via constrained optimization using DE (differential evolution). …”
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Evolving controllers for simulated car racing using differential evolution
Published 2013“…This indicates that DE has well-tuned the neural network weights to generate optimal and sub-optimal controllers in TORCS.…”
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Robust H-infinity controller synthesis using multi-objectives differential evolution algorithm (MODE) for two-mass-spring system
Published 2011“…The conflicting nature of these objectives has made such design exercise a tedious endeavor. In this study, the optimal-tuning of the Hinfinity controller parameters using multi-objective differential evolution (MODE) technique is proposed, and apply for control of a two-mass-spring system which represents a typical benchmark robust control problem. …”
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Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm
Published 2023“…The proposed PID controller, optimized using AOA, is contrasted with PID controllers tuned via alternative algorithms including the hybrid Nelder-Mead method (AEONM), artificial ecosystem-based optimization (AEO), differential evolution (DE), and particle swarm optimizer (PSO). …”
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Optimal HE-PWM inverter switching patterns using differential evolution algorithm
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Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter
Published 2018“…Differential Evolution (DE) has been gaining popularity among researchers as an effective yet simple evolutionary algorithm to solve the optimization problems. …”
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14
Identification and predictive control of spray tower system using artificial neural network and differential evolution algorithm
Published 2015“…This includes the use of an artificial neural network (ANN) based predictive control strategy and differential evolution (DE) optimization algorithm to determines the optimal control signal, uk (liquid droplet size, dD) by minimizing the cost function such that the output is set below the allowable PM concentration. …”
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15
Mixed Unscented Kalman Filter and differential evolution for parameter identification
Published 2013“…This paper presents parameters estimation techniques for coupled industrial tanks using the mixed Unscented Kalman Filter (UKF) and Differential Evolution (DE) method. …”
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Tap changer optimisation using embedded differential evolutionary programming technique for loss control in power system
Published 2023“…Thus, a reliable optimization technique is mandatory to alleviate this issue. …”
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Robust control design based on differential evolution for two-mass system
Published 2011“…This paper presents a robust control design based on constrained optimization using Differential Evolution (DE). …”
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Mobility management for seamless handover in carrier aggregation heterogeneous networks deployment scenario of long term evolution-advanced
Published 2018“…Secondly, a Hybrid Handover Parameters Optimization algorithm based on Enhanced Weight Performance (HHPO) is introduced to optimize, select suitable Handover Control Parameters (HCP) and to manage the conflict that may occur among self-optimization functions. …”
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Online Dynamic Optimization Studies Of Catalyzed Esterfication Of Propionic Anhydride With 2-Butanol In The Presence Of Disturbance And Uncertainty
Published 2015“…Five dynamic optimization techniques namely control vector parameterization (CVP), orthogonal collocation (OC), multiple shooting (MS), differential evolution (DE) and hybrid strategy (HS) have been implemented to optimize three different objective functions, i.e. maximize conversion, minimize final time and maximize operation profit. …”
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A novel clustering based genetic algorithm for route optimization
Published 2016“…The proposed algorithm has been applied to route optimization problem. Results obtained showed that the proposed algorithm outperforms some of the existing techniques. …”
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