复杂系统可靠度最优分配问题是一个具有多局部极值的非线性的优化问题。
An optimal apportionment of reliability problem of complex system is a nonlinear optimization problem with a large number of local extreme values.
实验表明，模糊互信息函数比互信息函数具有更少的局部极值点和更好的优化特性。
Experiment results show that similarity measure based on fuzzy mutual information has less local extremums and better optimization character.
微粒群优化算法是求解连续函数极值的一个有效方法。
Particle Swarm Optimization (PSO) algorithm is a powerful method to find the extremum of a continuous numerical function.
应用推荐