Among classical optimization algorithms, progressive optimality algorithm is widely applied.
在经典算法中，逐次规划法的应用较为广泛。
Some problems have been found in classical optimization methods to solve high dimension, multi-modal and other complex systems.
传统的优化方法在处理大维数、多模态等复杂问题上存在诸多不足。
This paper surveys the application of classical optimization theory, artificial intelligent and neural network to FMS's control.
本文详细分析和研究了传统的优化理论、人工智能和神经网络在FMS优化控制中应用的适应性及各自的特点。
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