Web search model and optimal algorithm based on mean quantity of Web pages
基于Web页面平均质量的Web搜索模型和优化算法

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.