In this paper we present a detailed review of current script and language identification
techniques. The main criticism of the existing techniques is that most of them rely on either …

Genetic algorithms (GAs) are stochastic global search methods inspired by biological
evolution. They have been used extensively in chemistry and materials science coupled with …

Large cities are built and designed based on the needs of mobile people, architectural
preferences and budgets. Unfortunately, this constitutes a big disadvantaged for those with …

We study the quantum nuclear motion of N 4He atoms or N N2 molecules (N< 4) confined in
carbon nanotubes using an ad hoc-developed nuclear wave function-based approach …

In catalysis, an accurate structural elucidation of molecules, atomic clusters, nanoparticles
and solid surfaces is required to understand chemical processes. Therefore, an efficient and …

Diversity is a key issue to consider when designing evolutionary approaches for difficult
optimization problems. In this paper, we address the development of an effective hybrid …

We extend the scope of a recent method for superimposing two molecules (J. Chem. Phys.
2009, 131, 124126-1− 124126-10) to include the identification of chiral structures. This …

This book can be regarded as' Soft computing for physicists and chemists self-taught'. It
prepares the readers with a solid background of soft computing and how to adapt soft …

Modern microscopy techniques opened new perspectives to look at colloidal clusters. It is
now possible to visualize the colloidal particles forming the cluster, which provides relevant …

This investigation uses a recent methodology, essentially based on our evolutionary
algorithm (EA) to get new insights about the energetics and structure of the first solvation …