关键词: 搜索引擎, Web搜索, 遗传算法, 克隆选择算法, 量子计算

Abstract: This paper proposed a search strategy based on Quantum Genetic Clonal Mining Algorithm (QGCMA) for Web search. The user query was used to mathematically define a mean quantity of Web pages, and evolved a population of Web pages for maximizing the affinity by clonal, mutation and crossover operator. The analysis and experimental results show that the proposed method is superior to standard genetic algorithm in Web search.

Key words: search engine, Web search, Genetic Algorithm (GA), Clonal Selection Algorithm (CSA), Quantum Computing (QC)