Abstract. We present an Immune Algorithm (IA) based on clonal selection principle and which uses memory B cells, to face the protein structure prediction problem (PSP) a particular example of the String Folding Problem in 2D and 3D lattice. Memory B cells with a longer life span are used to partition the funnel landscape of PSP, so to prop-erly explore the search space. The designed IA shows its ability to tackle standard benchmarks instances substantially better than other IA’s. In particular, for the 3D HP model the IA allowed us to find energy minima not found by other evolutionary algorithms described in literature
Protein structure prediction (PSP) problem is a multimodal problem that can be tackled efficiently b...
Inspired by the NP-hardness of string folding problems modeling the natural process of protein foldi...
Evolutionary algorithms (EAs) have been shown to be competent at solving complex, multimodal optimis...
We present an immune algorithm (IA) inspired by the clonal selection principle, which has been desig...
We present an immune algorithm (IA) inspired by the clonal selection principle, which has been desig...
Abstract—We present an immune algorithm (IA) inspired by the clonal selection principle, which has b...
Abstract — This paper presents an Immune Algorithm (IA) based on Clonal Selection Principle using a ...
Abstract Discrete models for protein structure prediction embed the protein amino acid sequence into...
Most population based evolutionary algorithms (EAs) have struggled to accurately predict structure f...
Protein Structure Prediction (PSP) is a challenging optimization problem in computational biology. A...
The application of computational search techniques to global optimisation problems is becoming incre...
This paper compares CN and RE prediction for simplified HP model proteins using machine learning tec...
Abstract—Simplified lattice models have played an important role in protein structure prediction and...
Discrete models for protein structure prediction embed the protein amino acid sequence into a discre...
Protein structure prediction (PSP) is a significant, yet difficult problem that attracts attention f...
Protein structure prediction (PSP) problem is a multimodal problem that can be tackled efficiently b...
Inspired by the NP-hardness of string folding problems modeling the natural process of protein foldi...
Evolutionary algorithms (EAs) have been shown to be competent at solving complex, multimodal optimis...
We present an immune algorithm (IA) inspired by the clonal selection principle, which has been desig...
We present an immune algorithm (IA) inspired by the clonal selection principle, which has been desig...
Abstract—We present an immune algorithm (IA) inspired by the clonal selection principle, which has b...
Abstract — This paper presents an Immune Algorithm (IA) based on Clonal Selection Principle using a ...
Abstract Discrete models for protein structure prediction embed the protein amino acid sequence into...
Most population based evolutionary algorithms (EAs) have struggled to accurately predict structure f...
Protein Structure Prediction (PSP) is a challenging optimization problem in computational biology. A...
The application of computational search techniques to global optimisation problems is becoming incre...
This paper compares CN and RE prediction for simplified HP model proteins using machine learning tec...
Abstract—Simplified lattice models have played an important role in protein structure prediction and...
Discrete models for protein structure prediction embed the protein amino acid sequence into a discre...
Protein structure prediction (PSP) is a significant, yet difficult problem that attracts attention f...
Protein structure prediction (PSP) problem is a multimodal problem that can be tackled efficiently b...
Inspired by the NP-hardness of string folding problems modeling the natural process of protein foldi...
Evolutionary algorithms (EAs) have been shown to be competent at solving complex, multimodal optimis...