中文摘要：

针对多变量优化问题的求解，基本网鱼算法的搜索效率下降，提出采用混沌变量的遍历性来模拟网鱼算法中两种不同密度网的实施过程。密度较小的网主要用于对未知解的探索，而密度较大的网主要用于对已知解进行开发，形成了基于混沌的网鱼算法，并将其应用于某边坡的最小安全系数搜索中。详细介绍了基于混沌的网鱼算法的实施步骤。所得计算结果与已有结果进行了比较，分析结果表明，基于混沌的网鱼算法具有较高的搜索效率，可应用于道路边坡的设计。

英文摘要：

To cope with the low searching efficiency of original fish-net algorithm for muhivariable optimization problems, the formulation of fish-net algorithm in combination with chaos variables which can simulate the two different nets （smaller density net and larger density net） used in original fish-net algorithm was put forward. The smaller density net is mainly functional for the exploration of unknown solutions, whereas the larger density net is mainly functional for the exploitation of found solutions. The fish-net algorithm based on chaos variables was adopted to locate the minimum safety factor for typical slope. The implementation of fish-net algorithm based on chaos variableswas described. The comparative studies with the published reports and the results obtained by original fish -net algorithm show that the proposed combinatorial algorithm is more efficient than original one for road slope design.