求解边坡最小安全系数的混合文化基因算法
A hybrid memetic algorithm for optimizing the soil slope safety factor

基于瑞典圆弧法的数学模型，提出一种有效用于求解边坡稳定最小安全系数的混合文化基因算法. 该算法结合了遗传算法优秀的全局搜索能力与低温状态下模拟退火算法的快速局部收敛特性，使算法在全局搜索和局部搜索之间达到较好平衡. 通过典型工程实例分析，验证了该混合文化基因算法在搜索边坡最小安全系数及其所对应的最危险滑动面位置的有效性.
Based on the Sweden arc method，a hybrid memetic algorithm is proposed to minimize the factor of safety in slopes. The hybrid memetic algorithm uses an effective genetic search method to explore the search space and an efficient simulated annealing local search method to exploit information in the search region，which can make better trade-off between global exploration and local exploitation. Experimental results on classic slope cases show that the proposed method is effective and efficient