A distributed database query optimization method based on genetic algorithm and immune theory

Abstract

Distributed database query optimization is very important in business field. This paper proposes an optimization based on genetic algorithm and immune theory. Distributed database query is optimized by genetic coding and immune vaccine construction. Then, through the experimental data test, it proves that the algorithm has 13% higher efficiency than the standard genetic algorithm, which shows that the algorithm has better performance.