Genetic Programming Researches

Researches

A differential evolutionary chromosomal gene expression programming

Matlab Code Download Paper Url: https://www.sciencedirect.com/science/article/pii/S1568494623001114 This study addresses the need for consistent performance in automated data-driven modeling tools for intelligent system applications. To overcome limitations in Classical Gene Expression Programmings (GEPs), a Differential Evolutionary Chromosomal GEP (DEC-GEP) algorithm is proposed. DEC-GEP utilizes the Differential Evolution (DE) algorithm to optimize both expression tree genotypes and […]

View More

DEHypGpOls

Paper Url: https://link.springer.com/article/10.1007/s00500-022-07571-1 This study introduces a hyperparameter optimal genetic programming-based algorithm, DEHypGpOls, for a-day-ahead prediction of stock market index trends. Utilizing a differential evolution (DE) algorithm, it optimizes hyperparameters of the genetic programming orthogonal least square (GpOls) algorithm, adapting it to the modeling dataset. The proposed approach enhances data-driven modeling performance and allows optimal […]

View More

An Evolutionary Field Theorem

This study contributes to the emerging field of neuroevolutionary machine learning in evolutionary computation. Firstly, it introduces an Evolutionary Field Optimization with Geometric Strategies (EFO-GS) algorithm based on an evolutionary field theorem, incorporating a field-adapted differential crossover and a field-aware metamutation process for improved search quality. Secondly, the study modifies the multiplicative neuron model to […]

View More