期刊文献+

基于微粒群算法的大庆农牧优化配置的研究

A Research in Using Particle Swarm to Optimize Daqing’s Industrial Structure of Agriculture
在线阅读 下载PDF
导出
摘要 针对大庆市农业产业结构中存在的问题,从经济、生态、社会3方面综合考察,建立了该区域的可持续农业产业结构优化模型,并利用微粒群算法对模型进行了求解,为大庆市的发展提供了理论依据。本研究对于目前研究和制定合理有效的产业结构调整策略,切实推进农业和农村经济持续、快速发展和增加农民收入具有一定的理论指导意义和实际应用价值。 Direct against the question of the agricultural structure of Daqing, tins text nave set up the optimization model of the sustainable agricultural structure of this area after integrated survey of economy, ecology, society to optimize the model, utilize particle swarm algorithms improved to optimize the model, have offered the theoretical foundation for dependent of Daqing. The investigation has certain theories meaning of direction and praxis valuable application with regard to study and enact reasonable efficiency regulate policy of estate structure current, certainly promote to develop of sustain and high-speed about agriculture and countryside economy and raise peasant's income.
出处 《农机化研究》 北大核心 2007年第7期58-59,62,共3页 Journal of Agricultural Mechanization Research
关键词 农业基础科学 农业产业结构 理论研究 多目标优化模型 微粒群算法 agricultural basic science agricultural industrial structure theoretical research multi-goals optimized models partiele swarm optimization
  • 相关文献

参考文献4

  • 1高德明.北方旱地农业资源系统分析与可持续发展战略[M].北京:中国环境科学出版社,1995:135-139.
  • 2李思惠.多目标线性规划在畜禽结构规划中的应用.南京农业大学学报,2000,(4):87-89.
  • 3Kennedy J,Eberhart,R.C.Particle Swarm Optimization[C].In:Proc.IEEE Int'1.Conf.On Neural Networks,IV.Piscataway,NJ:IEEE Service Center,1995:1942-1948.
  • 4Van den Bergh F,Engelbrecht A.P.Trainning Product Unit Networks Using Cooperative Particle Swarm Optimizers[C].In:Proceedings of the International Joint Conference on Neural Networks(IJCNN).Washington DC,USA,July 2001:126-132.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部