Artificial bee colony programming for symbolic regression

Modeling and Forecasting Passenger Car Ownership Based on Symbolic Regression

“…Twenty data are randomly generated by Equation (7), which is the same as the parameter set in [22]. Taking them as input samples, the SR is conducted and it returns a huge number of models.…”

Design of Multiplier-Less MDFT Filter Banks with Perfect Reconstruction using ABC Algorithm

“…An efficient algorithm for optimization is introduced by Karaboga and basturk called Artificial Bee Colony (ABC) algorithm [9][10][11][12]17]. This algorithm contains employed bees, onlooker bees and scout bees.…”

Prediction of self-compacting concrete elastic modulus using two symbolic regression techniques

“…Inspired by GA, Genetic programming (GP), developed by Koza [37], is the most prediction of SCC elastic modulus. In Section 5, the properties of gathered data for modeling the elastic modulus of SCC are described, whereas section 5 presents the analysis and discussion of 89 results, followed by the main conclusions in Section 6. source and finds a neighboring food source using the following expression [68]: [28].…”

“…how the result of obtained function fits with the target one [28]. The root 149 mean squared error (RMSE) can be used as a cost function which can be calculated as follows:…”

“…Then, 176 a tree node in the current solution (x i ), which determines how neighborhood information will be 177 used, is also randomly chosen in P ip probability distribution. The candidate solution (v i ) is selection process is applied between the current solution (x i ) and the candidate solution (v i ) [28]. …”