The problem of predicting the three-dimensional (3-D) structure of a protein from its one-
dimensional sequence has been called the “holy grail of molecular biology”, and it has …

The problem of protein structure prediction (PSP) represents one of the most important
challenges in computational biology. Determining the three dimensional structure of proteins …

Nowadays, air pollution forecasting modeling is vital to achieve an increase in air quality,
allowing an improvement of ecosystems and human health. It is important to consider the …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

Emission rates of greenhouse gases (GHGs) entering into the atmosphere can be inferred
using mathematical inverse approaches that combine observations from a network of …

Protein structure prediction (PSP) can be described as a multiobjective optimization (MO)
problem since the energy function involves potentially conflicting terms to be simultaneously …

The aim of this study was to present a new training algorithm using artificial neural networks
called multi-objective least absolute shrinkage and selection operator (MOBJ-LASSO) …

Proteins carry out the majority of functionality on a cellular level. Computational protein
structure prediction (PSP) methods have been introduced to speed up the PSP process due …

In this paper the insertion of the crowding-distance technique in a multiobjective genetic
algorithm with phenotypic crowding is carried out for the protein structure prediction (PSP) …

To gain a better understanding of how proteins function a process known as protein
structure prediction (PSP) is carried out. However, experimental PSP methods, such as X …