|
|
|
|
|
Mohammad Tubishat, Feras Al-Obeidat, Ali Safaa Sadiq and Seyedali Mirjalili
Spam emails have become a pervasive issue in recent years, as internet users receive increasing amounts of unwanted or fake emails. To combat this issue, automatic spam detection methods have been proposed, which aim to classify emails into spam and non-...
ver más
|
|
|
|
|
|
|
|
|
|
|
Juan F. Guerra, Ramon Garcia-Hernandez, Miguel A. Llama and Victor Santibañez
This work presents a comprehensive comparative analysis of four prominent swarm intelligence (SI) optimization algorithms: Ant Lion Optimizer (ALO), Bat Algorithm (BA), Grey Wolf Optimizer (GWO), and Moth Flame Optimization (MFO). When compared under the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qibing Jin and Yuming Zhang
Parameter optimization in the field of control engineering has always been a research topic. This paper studies the parameter optimization of an active disturbance rejection controller. The parameter optimization problem in controller design can be summa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hasan Çinar and Ilyas Kandemir
This paper presents the application of an active energy management strategy to a hybrid system consisting of a proton exchange membrane fuel cell (PEMFC), battery, and supercapacitor. The purpose of energy management is to control the battery and superca...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hossein Moayedi, Bahareh Kalantar, Loke Kok Foong, Dieu Tien Bui and Alireza Motevalli
Slump is a workability-related characteristic of concrete mixture. This paper investigates the efficiency of a novel optimizer, namely ant lion optimization (ALO), for fine-tuning of a neural network (NN) in the field of concrete slump prediction. Two we...
ver más
|
|
|
|
|
|