基于遗传算法的人口优化大数据模拟论证研究

发布时间：2018-04-15 16:58

  本文选题：人口优化 + 遗传算法　； 参考：《中国人口·资源与环境》2017年S1期

【摘要】：近几十年来,中国的人口形势发生了很大变化。计划生育的实施使中国总和生育率不断下降。但现在用工荒、老龄化危机等问题不断加重,使中国经济、社会可持续发展面临严重危机,我国需要从人口控制走向人口优化,全面提高人口质量。文章首次提出用遗传算法模拟人口发展,通过控制每一代的总和生育率研究人口质量进化过程,从大数据的角度论证了中国目前提出提倡适度生育即全面放开二胎政策有利于人口质量进化。
[Abstract]:The demographic situation in China has changed a lot in recent decades.The implementation of family planning has led to a steady decline in China's total fertility rate.However, the problems of labor shortage and aging crisis are becoming more and more serious, which makes the sustainable development of economy and society in China face serious crisis. China needs to change from population control to population optimization and improve the quality of population in an all-round way.It is the first time that genetic algorithm is used to simulate population development and to study the evolution process of population quality by controlling the total fertility of each generation.From big data's point of view, the author argues that it is beneficial to the evolution of population quality for China to advocate moderate fertility, that is, to fully open the policy of second child.
【作者单位】： 大连理工大学管理与经济学部;
【基金】：国家自然科学基金项目“营销沟通对双重社会身份消费者行为的影响研究”(批准号:71272094)
【分类号】：C924.2
，

本文编号：1754989