1. Feature Selection based on Particle Swarm Optimization and Mutual Information

Z. Shojaee; Seyed A. Shahzadeh Fazeli; E. Abbasi; F. Adibnia

Articles in Press, Accepted Manuscript, Available Online from 17 February 2021

http://dx.doi.org/10.22044/jadm.2020.8857.2020

Abstract
  Today, feature selection, as a technique to improve the performance of the classification methods, has been widely considered by computer scientists. As the dimensions of a matrix has a huge impact on the performance of processing on it, reducing the number of features by choosing the best subset of ...  Read More

F.2.7. Optimization
2. Optimization of fuzzy membership functions via PSO and GA with application to quad rotor

B. Safaee; S. K. Kamaleddin Mousavi Mashhadi

Volume 5, Issue 1 , Winter 2017, , Pages 1-10

http://dx.doi.org/10.22044/jadm.2016.747

Abstract
  Quad rotor is a renowned underactuated Unmanned Aerial Vehicle (UAV) with widespread military and civilian applications. Despite its simple structure, the vehicle suffers from inherent instability. Therefore, control designers always face formidable challenge in stabilization and control goal. In this ...  Read More

3. Estimation of LPC coefficients using Evolutionary Algorithms

Hossein Marvi; Zeynab Esmaileyan; Ali Harimi

Volume 1, Issue 2 , Summer 2013, , Pages 111-118

http://dx.doi.org/10.22044/jadm.2013.115

Abstract
  The vast use of Linear Prediction Coefficients (LPC) in speech processing systems has intensified the importance of their accurate computation. This paper is concerned with computing LPC coefficients using evolutionary algorithms: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Dif-ferential ...  Read More