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Title amino acid sequence alognment algorithm based on ant colony optimization genetic algorithm

XU Hong-lin

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Abstract

Based on ant colony optimization algorithm, Ant Colony Optimization Genetic Algorithm (ACOGA) is an improved algorithm by optimizing ant colony optimization algorithm's parameters. In this paper, ACOGA was applied to amino acid Sequence Alignment (SA) in bioinformatics and the ACOGA based sequence alignment algorithm (ACOGA SA) was derived. The experimental results indicate that the proposed ACOGA SA is very effective.

About this research paper

What this paper is about

Based on ant colony optimization algorithm, Ant Colony Optimization Genetic Algorithm (ACOGA) is an improved algorithm by optimizing ant colony optimization algorithm's parameters. In this paper, ACOGA was applied to amino acid Sequence Alignment (SA) in bioinformatics and the ACOGA based sequence alignment algorithm (ACOGA SA) was derived. The experimental results indicate that the proposed ACOGA SA is very effective.

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Available abstract

Based on ant colony optimization algorithm, Ant Colony Optimization Genetic Algorithm (ACOGA) is an improved algorithm by optimizing ant colony optimization algorithm's parameters. In this paper, ACOGA was applied to amino acid Sequence Alignment (SA) in bioinformatics and the ACOGA based sequence alignment algorithm (ACOGA SA) was derived. The experimental results indicate that the proposed ACOGA SA is very effective.

Key concepts: Ant colony optimization algorithms, Algorithm, Meta-optimization, Computer science, Optimization algorithm, Genetic algorithm, Sequence (biology), Artificial bee colony algorithm

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