1. Shuffled Frog-Leaping Programming for Solving Regression Problems

M. Abdollahi; M. Aliyari Shoorehdeli

Volume 8, Issue 3 , Summer 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
2. A Fast and Self-Repairing Genetic Programming Designer for Logic Circuits

A. M. Mousavi; M. Khodadadi

Volume 6, Issue 2 , Summer 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
3. Estimating scour below inverted siphon structures using stochastic and soft computing approaches

M. Fatahi; B. Lashkar-Ara

Volume 5, Issue 1 , Winter 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