Volume 12 (2024)
Volume 11 (2023)
Volume 10 (2022)
Volume 9 (2021)
Volume 8 (2020)
Volume 7 (2019)
Volume 6 (2018)
Volume 5 (2017)
Volume 4 (2016)
Volume 3 (2015)
Volume 2 (2014)
Volume 1 (2013)
H.3.15.3. Evolutionary computing and genetic algorithms
A Hybrid Machine Learning Approach and Genetic Algorithm for Malware Detection

Mahdieh Maazalahi; Soodeh Hosseini

Volume 12, Issue 1 , January 2024, , Pages 95-104

https://doi.org/10.22044/jadm.2024.13895.2503

Abstract
  Detecting and preventing malware infections in systems is become a critical necessity. This paper presents a hybrid method for malware detection, utilizing data mining algorithms such as simulated annealing (SA), support vector machine (SVM), genetic algorithm (GA), and K-means. The proposed method combines ...  Read More

An Intelligent Fuzzy System for Diabetes Disease Detection using Harris Hawks Optimization

Zahra Asghari Varzaneh; Soodeh Hosseini

Volume 11, Issue 2 , April 2023, , Pages 187-194

https://doi.org/10.22044/jadm.2023.12383.2383

Abstract
  This paper proposed a fuzzy expert system for diagnosing diabetes. In the proposed method, at first, the fuzzy rules are generated based on the Pima Indians Diabetes Database (PIDD) and then the fuzzy membership functions are tuned using the Harris Hawks optimization (HHO). The experimental data set, ...  Read More

Efficient Feature Selection Method using Binary Teaching-learning-based Optimization Algorithm

S. Hosseini; M. Khorashadizade

Volume 11, Issue 1 , January 2023, , Pages 29-37

https://doi.org/10.22044/jadm.2023.12497.2400

Abstract
  High dimensionality is the biggest problem when working with large datasets. Feature selection is a procedure for reducing the dimensionality of datasets by removing additional and irrelevant features; the most effective features in the dataset will remain, increasing the algorithms’ performance. ...  Read More