The purpose of feature construction is to create new high level features from the original
features. When Genetic Programming (GP) is applied to wrapper-based feature construction …

Action advising is a popular and effective approach to accelerating independent multiagent
reinforcement learning (MARL), especially for the learning systems that all the agents learn …

Abstract Genetic Programming (GP) based Symbolic Regression (SR) algorithms suffer from
the ineluctable effects over model bloat, blind search and diversity loss when determining …

Estimation of distribution programming is an iterative method to evolve program trees. It
estimates the distribution of the most suitable program trees and then produces a new …

Automatic programming (AP) is one of the most attractive branches of artificial intelligence
because it provides effective solutions to problems with limited knowledge in many different …

In this paper, a novel operator, semantic cluster operator, was developed to overcome the
low convergence performance of genetic programming in symbolic regression. The main …

This article proposes an algorithm to construct multi-output symbolic regression models in a
single execution. The algorithm extends the single-output Kaizen programming (KP) to a …

Extracting Handwritten text is one of the most important components of digitizing information
and making it available for large scale setting. Handwriting Optical Character Reader (OCR) …

Text generation tasks have gotten the attention of researchers in the last few years because
of their applications on a large scale. In the past, many researchers focused on task-based …

Accomplishments in the field of artificial intelligence are utilized in the advancement of
computing and making of intelligent machines for facilitating mankind and improving user …