Protein folding optimization based on 3D off-lattice model via an improved artificial bee colony algorithm
Protein folding is a fundamental topic in molecular biology. Conventional experimental
techniques for protein structure identification or protein folding recognition require strict …
techniques for protein structure identification or protein folding recognition require strict …
A computational ecosystem for optimization: review and perspectives for future research
Nature exhibits extremely diverse, dynamic, robust, complex and fascinating phenomena
and, since long ago, it has been a great source of inspiration for solving hard and complex …
and, since long ago, it has been a great source of inspiration for solving hard and complex …
A GPU-based hybrid jDE algorithm applied to the 3D-AB protein structure prediction
M Boiani, RS Parpinelli - Swarm and Evolutionary Computation, 2020 - Elsevier
Abstract The Protein Structure Prediction (PSP) problem is one of the most significant open
problems in bioinformatics. In the AB off-lattice model, the protein sequence is labeled as …
problems in bioinformatics. In the AB off-lattice model, the protein sequence is labeled as …
A massively parallel speciation‐based differential evolution algorithm applied to the 3D‐AB protein structure prediction
R Stubs Parpinelli, M Boiani… - … : Practice and Experience, 2023 - Wiley Online Library
One of the most challenging problems in Bioinformatics is the finding of a protein
conformation and it is known as the Protein Structure Prediction (PSP) problem. The main …
conformation and it is known as the Protein Structure Prediction (PSP) problem. The main …
A novel approach to protein folding prediction based on long short-term memory networks: a preliminary investigation and analysis
The Protein Folding Problem (PFP) is considered one of the most important open challenges
in Biology and Bioinformatics. Long Short-Term Memory (LSTM) methods have risen …
in Biology and Bioinformatics. Long Short-Term Memory (LSTM) methods have risen …
An ecologically-inspired parallel approach applied to the protein structure reconstruction from contact maps
The Protein Folding Problem (PFP) is considered one of the most important open challenges
in Biology and Bioinformatics. This paper describes the application of a parallel ecology …
in Biology and Bioinformatics. This paper describes the application of a parallel ecology …
Gene expression programming for evolving two-dimensional cellular automata in a distributed environment
This paper presents a novel distributed bio-inspired approach that uses Gene Expression
Programming (GEP) to evolve transition rules for two-dimensional Cellular Automata (2D …
Programming (GEP) to evolve transition rules for two-dimensional Cellular Automata (2D …
A GPU-Based Hybrid jDE Algorithm Applied to the 2D-AB Protein Structure Prediction Problem
M Boiani, G Dominico… - 2019 8th Brazilian …, 2019 - ieeexplore.ieee.org
Protein Structure Prediction (PSP) problem is an open problem in bioinformatics and, as the
problem scales, complexity and processing time increases. In this way, robust methods and …
problem scales, complexity and processing time increases. In this way, robust methods and …
FP-AK-QIEA-ℝ seed to help the convergence of PECO
JEC Saire - 2018 IEEE XXV International Conference on …, 2018 - ieeexplore.ieee.org
FP-AK-QIEA-ℝ has been used in Benchmark Functions, Protein Folding Problem and multi-
objective problems. PECO was a proposed algorithm with good performance in Protein …
objective problems. PECO was a proposed algorithm with good performance in Protein …
A Pareto-based Symbiotic Relationships Model for Unconstrained Continuous Optimization
Symbiotic relationships are one of several phenomena that can be observed in nature.
These relationships consist of interactions between organisms and can lead to benefits or …
These relationships consist of interactions between organisms and can lead to benefits or …