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


  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

H.3. Artificial Intelligence
A New Hybrid Method to Detect Risk of Gastric Cancer using Machine Learning Techniques

Ali Zahmatkesh Zakariaee; Hossein Sadr; Mohamad Reza Yamaghani

Volume 11, Issue 4 , November 2023, , Pages 505-515


  Machine learning (ML) is a popular tool in healthcare while it can help to analyze large amounts of patient data, such as medical records, predict diseases, and identify early signs of cancer. Gastric cancer starts in the cells lining the stomach and is known as the 5th most common cancer worldwide. ...  Read More

H.5. Image Processing and Computer Vision
An Optimal Hybrid Method to Detect Copy-move Forgery

Fatemeh Zare mehrjardi; Alimohammad Latif; Mohsen Sardari Zarchi

Volume 11, Issue 3 , July 2023, , Pages 429-442


  Image is a powerful communication tool that is widely used in various applications, such as forensic medicine and court, where the validity of the image is crucial. However, with the development and availability of image editing tools, image manipulation can be easily performed for a specific purpose. ...  Read More

H.3.15.3. Evolutionary computing and genetic algorithms
A Hybrid MOEA/D-TS for Solving Multi-Objective Problems

Sh. Lotfi; F. Karimi

Volume 5, Issue 2 , July 2017, , Pages 183-195


  In many real-world applications, various optimization problems with conflicting objectives are very common. In this paper we employ Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D), a newly developed method, beside Tabu Search (TS) accompaniment to achieve a new manner for solving ...  Read More