The scope of this manuscript is to present a new short‐term financial forecasting and trading
tool: the Gene Expression Programming (GEP) Trader Tool. It is based on the gene …

Many papers focused on fine-tunning the Gene Expression Programming (GEP) operators
or their application rates in order to improve the performances of the algorithm. Much less …

Cândida Ferreira thoroughly describes the basic ideas of gene expression programming
(GEP) and numerous modifications to this powerful new algorithm. This monograph provides …

This paper presents a heuristic method for time series modeling. The method is based on
gene expression programming, a recently proposed evolutionary computation technique …

A new evolutionary technique for evolving mathematical expressions called Mathematical
Expressions Evolver (MEXE) is proposed in this paper. Each MEXE chromosome is a string …

This paper describes a forecasting method that is suitable for long range predictions.
Forecasts are made by a calculating machine of which inputs are the actual data and the …

The genetic programming tool EDDIE has been shown to be a successful financial
forecasting tool, however it has suffered from an increase in execution time as new features …

Applications of learning algorithms in knowledge discovery are promising and relevant area
of research. It is offering new possibilities and benefits in real-world applications, helping us …

Making accurate stock price predictions is the pillar of effective decisions in high-velocity
environments since the successful prediction of future prices could yield significant profit and …

Objective: The aim of this paper is to analyze the main research areas in Genetic
Programming (GP). Method: We used the systematic literature review method employing an …