Ant colony optimization: Introduction and recent trends
C Blum - Physics of Life reviews, 2005 - Elsevier
Ant colony optimization is a technique for optimization that was introduced in the early
1990's. The inspiring source of ant colony optimization is the foraging behavior of real ant …
1990's. The inspiring source of ant colony optimization is the foraging behavior of real ant …
Fundamentals of natural computing: an overview
LN de Castro - Physics of Life Reviews, 2007 - Elsevier
Natural computing is a terminology introduced to encompass three classes of methods:(1)
those that take inspiration from nature for the development of novel problem-solving …
those that take inspiration from nature for the development of novel problem-solving …
NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction
Background The major histocompatibility complex (MHC) molecule plays a central role in
controlling the adaptive immune response to infections. MHC class I molecules present …
controlling the adaptive immune response to infections. MHC class I molecules present …
Swarm intelligence in optimization
Optimization techniques inspired by swarm intelligence have become increasingly popular
during the last decade. They are characterized by a decentralized way of working that …
during the last decade. They are characterized by a decentralized way of working that …
Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method
Abstract Background Antigen presenting cells (APCs) sample the extra cellular space and
present peptides from here to T helper cells, which can be activated if the peptides are of …
present peptides from here to T helper cells, which can be activated if the peptides are of …
MHC class II epitope predictive algorithms
Major histocompatibility complex class II (MHC‐II) molecules sample peptides from the
extracellular space, allowing the immune system to detect the presence of foreign microbes …
extracellular space, allowing the immune system to detect the presence of foreign microbes …
[PDF][PDF] Swarm intelligence: concepts, models and applications
H Ahmed, J Glasgow - School Of Computing, Queens …, 2012 - research.cs.queensu.ca
A swarm is a large number of homogenous, simple agents interacting locally among
themselves, and their environment, with no central control to allow a global interesting …
themselves, and their environment, with no central control to allow a global interesting …
Quantitative predictions of peptide binding to any HLA-DR molecule of known sequence: NetMHCIIpan
CD4 positive T helper cells control many aspects of specific immunity. These cells are
specific for peptides derived from protein antigens and presented by molecules of the …
specific for peptides derived from protein antigens and presented by molecules of the …
Novel in silico tools for designing peptide-based subunit vaccines and immunotherapeutics
The conventional approach for designing vaccine against a particular disease involves
stimulation of the immune system using the whole pathogen responsible for the disease. In …
stimulation of the immune system using the whole pathogen responsible for the disease. In …
Artificial neural network prediction of the biogas flow rate optimised with an ant colony algorithm
T Beltramo, C Ranzan, J Hinrichs, B Hitzmann - Biosystems Engineering, 2016 - Elsevier
Highlights•Simulation of the co-digestion of two agricultural substrates was performed.•To
predict the biogas flow rate the neural logic was employed.•The optimisation was done with …
predict the biogas flow rate the neural logic was employed.•The optimisation was done with …