Prediction of Drifter Trajectory Using Evolutionary Computation

Alpha Helix Prediction Based on Evolutionary Computation

Multiple approaches have been developed in order to predict the protein secondary structure. In this paper, we propose an approach to such a problem based on evolutionary computation. The proposed approach considers various amino acids properties in order to predict the secondary structure of a protein. In particular, we will consider the hydrophobicity, the polarity and the charge of amino aci...

Distributed Evolutionary Computation using REST

— This paper analises distributed evolutionary computation based on the Representational State Transfer (REST) protocol, which overlays a farming model on evolutionary computation. An approach to evolutionary distributed optimisation of multilayer perceptrons (MLP) using REST and language Perl has been done. In these experiments, a master-slave based evolutionary algorithm (EA) has been impleme...

Demonstration of Improved Trajectory Prediction Using Future

This paper aims to demonstrate how current technology can assist to improve ground-based trajectory prediction. The lack of accurate ground-based trajectory prediction is often associated with the inefficiencies resulting from current Air Traffic Control (ATC) practices. To this purpose, results from different ground-based Trajectory Predictors (TPs) both standard and enhanced with Future Air N...

Using Recurrent Neural Networks in Trajectory Prediction

Residue-Residue Contact Prediction Based on Evolutionary Computation

In this study, a novel residue-residue contacts prediction approach based on evolutionary computation is presented. The prediction is based on four amino acids properties. In particular, we consider the hydrophobicity, the polarity, the charge and residues size. The prediction model consists of a set of rules that identifies contacts between amino acids.