SOA基于模拟人的随机搜索行为 ,由利用位置变化评价得到的经验梯度确定搜索方向 ,由采用简单模糊规则的不确定性推理确定搜索步长 ,通过搜寻者在搜索空间的位置更新 ,实现对优化问题的求解.-The SOA is aimed to simulate the random action in human searching behaviors for solving.

SOA人群搜索算法具有鲁棒性好，算法较快的收敛性，算法求解最优值避免早熟等现象的发生，因此，人群算法完成函数优化分析具有收敛精度高等特点。-SOA crowd searching algorithm has better robustness and fast convergence of the algorithm, algorithm for optimal value to avoid the premature occurrence of such phenomena, therefor

本程序为人群搜索算法在连续函数的寻优，可以将算法应用多个领域。-This procedure for people searching algorithm optimization of continuous functions, multiple algorithms can be field.

人群搜索算法（SOA , Seeker Optimization Algorithm）是基于人类的社会生活习惯，模拟人类搜索活动的智能行为的一种新的基于种群的启发式随机搜索算法。 -People search Algorithm (SOA, Seeker Optimization Algorithm) is based on human social life habit, simulation of the intelligent human search activity of a ki