It is 30 years since John R. Koza published “Jaws”, the first book on genetic programming
[Genetic Programming: On the Programming of Computers by Means of Natural Selection …

Abstract The NCBI GEO GSE3494 breast cancer dataset contains hundreds of Affymetrix HG-
U133A and HG-U133B GeneChip biopsies each with a million variables. Multiple genetic …

Genetic programming (GP) is a computationally intensive technique which also has a high
degree of natural parallelism. Parallel computing architectures have become commonplace …

Similarity measures for comparing clusterings is an important component, eg, of evaluating
clustering algorithms, for consensus clustering, and for clustering stability assessment …

Abstract Genetic Programming (GP)(Koza, Genetic programming, MIT Press, Cambridge,
1992) is well-known as a computationally intensive technique. Subsequently, faster parallel …

Abstract Parallel Graphics Processing Unit (GPU) implementations of GP have appeared in
the literature using three main methodologies:(i) compilation, which generates the …

In multi-response regression, pursuit of two different types of structures is essential to battle
the curse of dimensionality. In this paper, we seek a sparsest decomposition representation …

As the demand for real-time signal processing increases in various fields, such as
healthcare, artificial intelligence, machine learning, and scientific research, there is a need …

Abstract Geometric unification of Evolutionary Algorithms (EAs) has resulted in an
expanding set of algorithms which are search space invariant. This is important since search …

For the integration of data analysis, we implement clustering, graph mining and association
rule algorithms in SQL using scripting languages and recursive tables, which also allow to …