计算机与现代化Issue(7)：6-8,3.DOI:10.3969/j.issn.1006-2475.2012.07.002
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
谢盛嘉1
作者信息
- 1. 广东女子职业技术学院,广东广州511450
- 折叠
摘要
Abstract
Selection operator is one of the most important operators for genetic algorithms. It has significant influences on the population' 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Key words
selection operator/ genetic algorithm/ Poisson curve/ parameter estimation分类
信息技术与安全科学引用本文复制引用
谢盛嘉..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[J].计算机与现代化,2012,(7):6-8,3.
