摘要
针对自然灾害发生初期救灾物资紧缺时如何准确有效公平的分配有限的物资问题,基于可信性理论提出一类带有模糊参数的物资分配机会约束模型。进而,讨论可信性函数的逼近方法并且设计了一个基于逼近方法、神经网络和遗传算法的混合智能算法求解此模型。最后给出一个例子来说明所设计模型和算法的实用性及有效性。
For the question of how to accurately and effectively al ocate limited relief supplies in the early disaster,based on credibility theory proposed a class of materials al ocation with fuzzy parameters chance constrained model.Then it deal with the approximation approach of credibility function and design a hybrid intelligent algorithm,which combines approximation approach,neural network and genetic algorithm to solve this model.Final y,an example to il ustrate the design model and the practicality and effectiveness of the algorithm.
出处
《数字技术与应用》
2014年第1期63-65,共3页
Digital Technology & Application
关键词
可信性理论
机会约束
神经网络
遗传算法
Credibility Theory
chance-constrained
neural network
genetic algorithm
