Gas compressibility factor (z-factor) is an important parameter widely applied in petroleum and chemical engineering. Experimental measurements, equations of state (EOSs) and empirical correlations are the most common sources in z-factor calculations. However, these methods have serious limitations such as being time-consuming as well as those from a computational point of view, like instabilit...

The forecasting models for stock market index using computational intelligence such as Artificial Neural networks(ANNs) and Genetic programming(GP), especially hybrid Immune Programming (IP) Algorithm and Gene Expression Programming(GEP) have achieved favorable results. However, these studies, have assumed a static environment. This study investigates the development of a new dynamic decision f...

Ensemble is a representative technique for improving classification performance by combining a set of classifiers. It is required to maintain the diversity among base classifiers for effective ensemble. Conventional ensemble approaches construct various classifiers by estimating the similarity on the output patterns of them, and combine them with several fusion methods. Since they measure the s...

This paper proposes an evolutionary method of identifying the gene regulatory network represented as a differential equation system. As the technology in DNA micro arrays has developed, large quantities of gene’s expression data are becoming more available. As a result, it is essential to get information as to the gene regulatory network from the observed data of gene’s expression. Among many p...

Introduction: Hearing impairment is a complex medical disorder whichhas genetic and non-genetic causes. Gap Junction Protein Beta 2 (GJB2) gene variant is a well-known disease-causing gene among patients with hearing impairment. The frequencies of genetic variants in the GJB2 gene are different in each population. This study aimed to discuss the GJB2 gene status in an Iranian population with he...

Gene expression programming presents an alternative approach in the evolutionary computation paradigm evolving populations of candidate solutions as valid computer programs that can be used for a potentially wide range of problem solving tasks, including sound synthesis. This paper proposes Gene Expression Synthesis (GES) as a method to evolve sound synthesis functions as nested graphs of unit ...

This paper describes six new architecture-altering operations that provide a way to dynamically determine the architecture of a multipart program during a run of genetic programming. The new operations are patterned after the naturally occurring operations of gene duplication and gene deletion and are motivated by Ohno's provocative book Evolution by Means of Gene Duplication. The new operation...

This paper describes how the biological theory of gene duplication described in Susumu Ohno's provocative book, Evolution by Means of Gene Duplication, was brought to bear on a vexatious problem from the domain of automated machine learning, namely the problem of architecture discovery. Six new architecture-altering operations for genetic programming were motivated by the way that new biologica...

Gene expression programming (GEP) is, like genetic algorithms (GAs) and genetic programming (GP), a genetic algorithm as it uses populations of individuals, selects them according to fitness, and introduces genetic variation using one or more genetic operators [1]. The fundamental difference between the three algorithms resides in the nature of the individuals: in GAs the individuals are linear...