Results 31 to 40 of about 5,264,754 (318)

Modeling and Optimization of Triple Diode Model of Dye-Sensitized Solar Panel Using Heterogeneous Marine Predators Algorithm

open access: yesMathematics, 2022
The reliable mathematical model construction of dye-sensitized solar cells (DSSCs) using the triple-diode model (TDM) is proposed but it is a challenge due to its complexity.
Alaa A. Zaky   +6 more
doaj   +1 more source

Optimal Power Flow Solution Using Levy Spiral Flight Equilibrium Optimizer With Incorporating CUPFC

open access: yesIEEE Access, 2021
Centre Node Unified Power Flow Controller (CUPFC) is a developed member of Flexible Alternating Current Transmission System (FACTS) connected at midpoint of transmission line.
Ashraf Mostafa   +3 more
doaj   +1 more source

Improved Equilibrium Optimizer using Density-based Population and Entropy Operator for Feature Selection [PDF]

open access: yesAUT Journal of Modeling and Simulation, 2023
As the number of features in practical applications grows, the feature selection process becomes increasingly important. Since the feature selection problem is NP-hard, no exact algorithm can determine the optimal subset over a reasonable period of time.
Mohammad Amiri Ebrahimabadi   +2 more
doaj   +1 more source

Optimal tuning of PID controller for speed control of DC motor using equilibrium optimizer

open access: yesIndonesian Journal of Electrical Engineering and Computer Science, 2023
The efficient and smooth operation of direct current (DC) motors is of high significance in various industrial applications. This study proposed a recent optimization technique, named equilibrium optimizer (EO) for optimal tuning of the parameters of ...
Ibukun Damilola Fajuke, A. Raji
semanticscholar   +1 more source

Design of I-PD Controller Based Modified Smith Predictor for Processes With Inverse Response and Time Delay Using Equilibrium Optimizer

open access: yesIEEE Access, 2023
In the process control industry, it is arduous to control some integrating or unstable processes since they involve time delays and have an inverse response.
Tufan Doğruer
semanticscholar   +1 more source

Estimating Flyrock Distance Induced Due to Mine Blasting by Extreme Learning Machine Coupled with an Equilibrium Optimizer

open access: yesSustainability, 2023
Blasting is essential for breaking hard rock in opencast mines and tunneling projects. It creates an adverse impact on flyrock. Thus, it is essential to forecast flyrock to minimize the environmental effects.
R. Bhatawdekar   +6 more
semanticscholar   +1 more source

Equilibrium optimizer: A novel optimization algorithm

open access: yesKnowledge-Based Systems, 2020
Abstract This paper presents a novel, optimization algorithm called Equilibrium Optimizer (EO), inspired by control volume mass balance models used to estimate both dynamic and equilibrium states. In EO, each particle (solution) with its concentration (position) acts as a search agent.
Faramarzi, Afshin   +3 more
openaire   +2 more sources

An Optimal Signaling Equilibrium [PDF]

open access: yesSSRN Electronic Journal, 2011
This paper analyses the optimal combination of costly and costless messages that a Sender uses in a signaling game if he is able to choose among all equilibrium communication strategies. We provide a complete characterization of the equilibrium that maximizes the Sender's ex ante expected utility in case of uniformly distributed types and quadratic ...
Vladimir Karamychev, Bauke Visser
openaire   +3 more sources

Optimization Induced Equilibrium Networks

open access: yes, 2021
Implicit equilibrium models, i.e., deep neural networks (DNNs) defined by implicit equations, have been becoming more and more attractive recently. In this paper, we investigate an emerging question: can an implicit equilibrium model's equilibrium point be regarded as the solution of an optimization problem?
Xie, Xingyu   +6 more
openaire   +2 more sources

Enhancement of K-means clustering in big data based on equilibrium optimizer algorithm

open access: yesJournal of Intelligent Systems, 2023
Data mining’s primary clustering method has several uses, including gene analysis. A set of unlabeled data is divided into clusters using data features in a clustering study, which is an unsupervised learning problem.
Sarah Ghanim Mahmood Al-kababchee   +2 more
semanticscholar   +1 more source

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