This e-book is devoted to global optimization algorithms, which are methods to find optimal
solutions for given problems. It especially focuses on Evolutionary Computation by …

Empirical modeling, which is a process of developing a mathematical model of a system
from experimental data, has attracted many researchers due to its wide applicability. Finding …

Fuzzy cognitive maps (FCMs) have been successfully used to model and predict stationary
time series. However, it still remains challenging to deal with large-scale nonstationary time …

This study aims to forecast oil prices using evolutionary techniques such as gene expression
programming (GEP) and artificial neural network (NN) models to predict oil prices over the …

Soft computing techniques have recently been widely used to model some of human
activities in many areas of civil engineering applications. In this paper, two models in gene …

Prediction of the remaining service life (RSL) of pavement is a challenging task for road
maintenance and transportation engineering. The prediction of the RSL estimates the time …

Mineral prospectivity mapping (MPM) is a fundamental task in mineral exploration. The
logistic regression (LR) method has been widely used as a data-driven tool for MPM …

In the present study, FLOW-3D software was used to simulate energy dissipation by a
serrated-edge drop, downstream of this structure. For this purpose, 2, 3, and 4 serrations …

The use of fly ash as a mineral admixture in the manufacture of concrete has received
considerable attention in recent years. For this reason, several experimental studies are …

Abstract Gene Expression Programming (GEP) is a powerful evolutionary method for
knowledge discovery and model learning. Based on the basic GEP algorithm, this paper …