Abstract Knowledge extraction through machine learning techniques has been successfully
applied in a large number of application domains. However, apart from the required …

In the present work, a new digital design system, GenYacht, is proposed for the creation of
optimal and user-centred yacht hull forms. GenYacht is a hybrid system involving generative …

Many recent studies have shown that various multi-objective evolutionary algorithms have
been widely applied in the field of search-based software engineering (SBSE) for optimal …

Context: Clustering algorithms, as a modularization technique, are used to modularize a
program aiming to understand large software systems as well as software refactoring. These …

Evolutionary algorithms (EAs) are widely used for multi-objective optimization due to their
population-based nature. Traditional multi-objective EAs (MOEAs) generate a large set of …

A software system evolves over time in order to meet the needs of users. Understanding a
program is the most important step to apply new requirements. Clustering techniques …

High response time of analytical queries is one of the most challenging issues of data
warehouses. Complicated nature of analytical queries and enormous volume of data are the …

The article is dedicated to the development of a mathematical model and methodology for
evaluating the effectiveness of integrating information technology solutions into digital …

Automated test case generation has proven to be useful to reduce the usually high
expenses of software testing. However, several studies have also noted the skepticism of …

We propose a novel co-evolutionary algorithm for interactive multiple objective optimization,
named CIEMO/D. It aims at finding a region in the Pareto front that is highly relevant to the …