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)
A New Learning-based Spatiotemporal Descriptor for Online Symbol Recognition

M. Sepahvand; F. Abdali-Mohammadi

Volume 10, Issue 1 , January 2022, , Pages 75-86


  The success of handwriting recognition methods based on digitizer-pen signal processing is mostly dependent on the defined features. Strong and discriminating feature descriptors can play the main role in improving the accuracy of pattern recognition. Moreover, most recognition studies utilize local ...  Read More

Shuffled Frog-Leaping Programming for Solving Regression Problems

M. Abdollahi; M. Aliyari Shoorehdeli

Volume 8, Issue 3 , July 2020, , Pages 331-341


  There are various automatic programming models inspired by evolutionary computation techniques. Due to the importance of devising an automatic mechanism to explore the complicated search space of mathematical problems where numerical methods fails, evolutionary computations are widely studied and applied ...  Read More

A.7. Logic Design
A Fast and Self-Repairing Genetic Programming Designer for Logic Circuits

A. M. Mousavi; M. Khodadadi

Volume 6, Issue 2 , July 2018, , Pages 355-363


  Usually, important parameters in the design and implementation of combinational logic circuits are the number of gates, transistors, and the levels used in the design of the circuit. In this regard, various evolutionary paradigms with different competency have recently been introduced. However, while ...  Read More

F.2.11. Applications
Estimating scour below inverted siphon structures using stochastic and soft computing approaches

M. Fatahi; B. Lashkar-Ara

Volume 5, Issue 1 , March 2017, , Pages 55-66


  This paper uses nonlinear regression, Artificial Neural Network (ANN) and Genetic Programming (GP) approaches for predicting an important tangible issue i.e. scours dimensions downstream of inverted siphon structures. Dimensional analysis and nonlinear regression-based equations was proposed for estimation ...  Read More