2017Unpublished venueRequires access

Implementation of the protein sequence model based on ant colony optimization algorithm

Aimoerfu, Minyong Shi, Chunfang Li, Dong Wang, Hairihan

Open publisher page 1 citations

Abstract

The present paper concerns itself with a theoretical calculation study on implementation and optimization of protein sequence issue. Using ant colony optimization algorithm (ACO) to build the Two-Dimensional Hydrophobic-Hydrophilic (2DHP) model. There are three parts in this paper. Starting with a brief introduction of the ant colony optimization and 2DHP model, then we propose a method on how to construct such model based on ant colony optimization algorithm. We end the study with the conclusion that ant colony optimization algorithm for protein sequence theoretical calculation can be improved.

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What this paper is about

The present paper concerns itself with a theoretical calculation study on implementation and optimization of protein sequence issue. Using ant colony optimization algorithm (ACO) to build the Two-Dimensional Hydrophobic-Hydrophilic (2DHP) model. There are three parts in this paper. Starting with a brief introduction of the ant colony optimization and 2DHP model, then we propose a method on how to construct such model based on ant colony optimization algorithm. We end the study with the conclusion that ant colony optimization algorithm for protein sequence theoretical calculation can be improved.

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Available abstract

The present paper concerns itself with a theoretical calculation study on implementation and optimization of protein sequence issue. Using ant colony optimization algorithm (ACO) to build the Two-Dimensional Hydrophobic-Hydrophilic (2DHP) model. There are three parts in this paper. Starting with a brief introduction of the ant colony optimization and 2DHP model, then we propose a method on how to construct such model based on ant colony optimization algorithm. We end the study with the conclusion that ant colony optimization algorithm for protein sequence theoretical calculation can be improved.

Key concepts: Ant colony optimization algorithms, Computer science, Sequence (biology), Metaheuristic, Parallel metaheuristic, Ant colony, Artificial bee colony algorithm, Meta-optimization

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