新型的智能仿生算法在动态优化问题中的应用也逐渐增多。
Novel intelligent algorithms based on bionics become more and more popular for solving dynamic optimization problems in recent years.
该文将动态优化问题描述为变约束优化问题，并提出一种求解算法。
The problem above is described as a variant constraint optimization problem and a corresponding algorithm is proposed.
针对供应链网络需求不确定的特点，采用模型预测控制技术解决供应链管理中库存的动态优化问题。
Model predictive control is applied to solve dynamic optimization of the inventory in supply chain management according to the demand uncertainty.
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