Search alternatives:
model optimization » level optimization (Expand Search), motor optimization (Expand Search), monkey optimizations (Expand Search)
model optimization » level optimization (Expand Search), motor optimization (Expand Search), monkey optimizations (Expand Search)
-
1
-
2
-
3
-
4
-
5
-
6
Economic load dispatch using memetic sine cosine algorithm
Published 2022“…SCA is a recent population based optimizer turned towards the optimal solution using a mathematical-based model based on sine and cosine trigonometric functions. …”
Get full text
-
7
Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies
Published 2017Get full text
doctoralThesis -
8
Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
Published 2024“…In this MOD-POA+ELM algorithm, the modified pelican optimization algorithm (MOD-POA) has been utilized to optimize the parameters of ELM’s hidden neurons. …”
-
9
Particle swarm optimization approach for protein structure prediction in the 3D HP model
Published 2012“…In this paper, we present a particle swarm optimization (PSO) based algorithm for predicting protein structures in the 3D hydrophobic polar model. …”
Get full text
Get full text
Get full text
article -
10
On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise
Published 2005Get full text
Get full text
Get full text
Get full text
conferenceObject -
11
AI-based remaining useful life prediction and modelling of seawater desalination membranes
Published 2024Get full text
doctoralThesis -
12
EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach
Published 2019“…To reduce the feature dimensionality, spatial, and temporal based, bag of deep features (BoDF) model is proposed. …”
-
13
Loss Model Control for Efficiency Optimization and Advanced Sliding Mode Controllers with Chattering Attenuation for Five-Phase Induction Motor Drive
Published 2024“…Secondly, this paper also proposes a Loss Model Controller (LMC) for FPIM energy optimization. …”
-
14
"Particle swarm based design of variable structure stabilizer for a nonlinear model of SMIB system"
Published 2006“…Unlike the methods reported in the literature which involve either linearizing the model of synchronous machine around a suitable operation point or applying nonlinear transformation techniques before linear control theory is used in designing a fixed parameter PSS, the present method formulates the design of VSC as an optimization problem and utilized the PSO algorithm to provide a simple and systematic way of arriving at the optimal feedback gains and switching vector values of the stabilizer. …”
Get full text
article -
15
"Particle Swarm Based Design of Variable Structure Stabilizer for a Nonlinear Model of SMIB System"
Published 2006“…Unlike the methods reported in the literature which involve either linearizing the model of synchronous machine around a suitable operation point or applying nonlinear transformation techniques before linear control theory is used in designing a fixed parameter PSS, the present method formulates the design of VSC as an optimization problem and utilized the PSO algorithm to provide a simple and systematic way of arriving at the optimal feedback gains and switching vector values of the stabilizer. …”
Get full text
article -
16
An Algorithm For Computing The Distance Between Two Circular Disks
Published 2020Get full text
article -
17
Optimal supercharge scheduling of electric vehicles
Published 2018“…At first, a centralized optimization framework is formulated using an integer linear problem (ILP) that accounts for the delayed arrival of EVs to CSs and the randomness in the requested recharge time interval. …”
Get full text
Get full text
Get full text
Get full text
article -
18
Online Control and Optimization of Directional Drilling
Published 2020“…In this thesis, dynamic modeling of two different DSS were developed and optimized using different control and optimization techniques. …”
Get full text
masterThesis -
19
A stochastic iterative learning control algorithm with application to an induction motor
Published 2004“…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the learning gain matrix of a P-type ILC for linear discrete-time varying systems with arbitrary relative degree. …”
Get full text
Get full text
Get full text
Get full text
article -
20
Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle
Published 2025“…To this end, three model-free DRL-based methods, based on deep deterministic policy gradient (DDPG), twin delayed deep deterministic policy gradient (TD3), and TD3 enhanced with curriculum learning (CL TD3), are developed for determining optimal yaw moment control and energy optimization online. …”