Sensors are crucial in detecting equipment problems in various plant systems. In particular,
detecting sensor abnormality is challenging in the case of utilizing the data which are …

This paper presents a new general automatic method for segmenting brain tumors in
magnetic resonance (MR) images. Our approach addresses all types of brain tumors. The …

The genetic programming (GP) paradigm, which applies the Darwinian principle of evolution
to hierarchical computer programs, has been applied with breakthrough success in various …

We introduce an extension of a genetic programming (GP) algorithm we call Evolutionary
Tree Genetic Programming (ETGP). The biological motivation behind this work is the …

We introduce a clustering-based method of subpopulation management in genetic
programming (GP) called Evolutionary Tree Genetic Programming (ETGP). The biological …

Abstract The Genetic Programming paradigm, which applies the Darwinian principle of
evolution to hierarchical computer programs, has produced promising breakthroughs in …

A method evolves generic computational building blocks. The method obtains a parent
population with programs that encode functions. The method also obtains a list of randomly …

(57) ABSTRACT A method evolves generic computational building blocks. The method
initializes a parent population with randomly generated programs or programs evolved by a …

The application is a National Phase Application of Inter national Patent Application No.
PCT/US2020/015873 filed Accordingly, there is a need for producing generic com Jan. 30 …

K-means Fast Learning Artificial Neural Network (K-FLANN) is an unsupervised neural
network requires two parameters: tolerance and vigilance. Best Clustering results are …