The Chaotic neural network model can be used to solve many multi-dimensioned, discrete, non-convex, nonlinear constrained optimization problems.
基于混沌神经网络模型可以有效地解决高维、离散、非凸的非线性约束优化问题。
BFGS algorithm is one of the most effective methods in solving the non-constrained optimization problems.
BFGS算法是解无约束优化问题的公认的最有效的算法之一。
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