A bilevel programming model and heuristic solution algorithm is proposed to model the continuous equilibrium network design problem with elastic demand.
采用双层规划模型描述弹性需求条件下的连续平衡网络设计问题，设计了近似解的启发式算法。
This paper presents a new approach to distributed problem solving for MAS, which makes use of the distributed elastic dynamics of a composite spring network model.
该文提出一种新的复合弹簧网络模型和方法，利用分布式弹性动力学方程，将MAS分布式问题求解过程转变为对应的复合弹簧网络形变过程。
A bilevel programming model and heuristic solution algorithm based on sensitivity analysis is proposed to model the continuous equilibrium network design with elastic demand.
本文采用双层规划模型描述基于弹性需求的连续平衡网络设计问题，设计了基于灵敏度分析法的启发式求解算法，并给出了一个简单的算例。
In this network model, the BP elastic algorithm (RPROP) was adopted and the initialized weight value and valve were optimized and this model has realized the nonlinear.
该网络采用BP弹性算法，同时对初始权值和阀值进行了优化，实现了网络的非线性映射，并有着极快的收敛速度。
In this network model, the BP elastic algorithm (RPROP) was adopted and the initialized weight value and valve were optimized and this model has realized the nonlinear.
该网络采用BP弹性算法，同时对初始权值和阀值进行了优化，实现了网络的非线性映射，并有着极快的收敛速度。
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