一种改进选择算子的遗传算法在泊松曲线沉降预测模型中的应用  

Application of a Genetic Algorithm with Improved Roulette Wheel Selection in Poisson Curve Settlement Forecasting Model

作　　者：谢盛嘉[1] 

机构地区：[1]广东女子职业技术学院,广东广州511450

出　　处：《计算机与现代化》2012年第7期6-8,共3页Computer and Modernization

摘　　要：选择算子是遗传算法的重要算子之一,它对于种群的多样性和算法的收敛性具有重要的影响。本文对轮盘赌选择算子进行改进,将适应值分组应用于种群个体的选择中,提出适应度分组轮盘赌,并将该方法用于泊松曲线沉降预测模型的优化。实验结果表明,该算法为泊松曲线沉降预测模型的参数估计提供一种有效的方法。Selection operator is one of the most important operators for genetic algorithms. It has significant influences on the pop- ulation＇ s diversity and the convergent speed of the algorithm. This paper improves the roulette wheel selection operator, applies partitioning of fitness to individual selection of the population, proposes roulette wheel selection based on partitioning of fitness, and applies the approach to the optimization of the Poisson curve settlement forecasting model. The experimental results indicate that, this algorithm provides an effective approach for the parameter estimation of the Poisson curve settlement forecasting model.

关 键 词：选择算子 遗传算法 泊松曲线 参数估计 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]