本文提出一种基于增广拉格朗日法的非线性约束优化算法用于独立成份分析(ICA), 仿真试验结果表明此方法可以有效的用于独立成份的分离. -This paper presents a broad-based increase Lagrange method of nonlinear constrained optimization algorithm for the independent component analysis (ICA), the simulation results show t

遗传算法解决求解带约束的优化问题明确遗传算法求解问题的一般思路和编码设计-Genetic Algorithm for solving constrained optimization problems with a clear genetic algorithm from the general ideas and Coding Design