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 …

This research focuses on solving a scheduling problem in a heat treatment line of a
multinational steel company. A bi-objective model is proposed to minimize the line total …

Recent advances in applying deep generative learning to molecular design have led to a
large number of novel approaches to the targeted generation of molecules towards specific …

Data warehouses are very large databases and play key role in intelligent decision making
in enterprises. The bitmap join indexes selection problem is crucial in the data warehouse …

Modern measuring instruments (MI) are of great importance for providing measure-ments in
all areas of the national economy. Their main purpose is to conduct accurate and reliable …

The advantages of composing and delivering software applications in the Cloud-Based
Software as a Service (SaaS) model are offering cost-effective solutions with minimal …

The hypervolume remains a popular performance indicator in evolutionary multi-objective,
mainly because of its nice mathematical properties (ie, it's the only performance indicator …

In the last few years, de novo molecular design has increasingly been using generative
models, from the emergent field of Deep Learning (DL), to propose novel compounds that …