Background Molecular dynamics has emerged as an important research methodology
covering systems to the level of millions of atoms. However, insufficient sampling often limits …

Over the past three decades, a number of powerful simulation algorithms have been
introduced to the protein folding problem. For many years, the emphasis has been placed on …

Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all
major nature-inspired algorithms for optimization. The book's unified approach, balancing …

This paper addresses path planning to consider a cost function defined over the
configuration space. The proposed planner computes low-cost paths that follow valleys and …

A novel tracking algorithm is proposed for targets with drastically changing geometric
appearances over time. To track such objects, we develop a local patch-based appearance …

The agent is a metaphor that was natively originated in Artifical Intelligence (AI)(see works
from Newell, and others). Its characteristics changed when the emphasis was put on multi …

Global optimization remains one of the great challenges in scientific computing. One
particular successful approach is the usage of tunneling functions to cross barriers and …

In the last decades biomolecular simulation has made tremendous inroads to help elucidate
biomolecular processes in-silico. Despite enormous advances in molecular dynamics …

In this study, we aim to rapidly fabricate an aptachip with a dual colorimetric and fluorometric
sensing strategy for easy dopamine (DA) detection with high sensitivity and selectivity. To …

An algorithmic method for the analysis of X-ray line spectra using genetic algorithms is
presented. This technique permits the extraction of diagnostic information on the emitting …