首页> 外文期刊>AI communications >A genetic algorithm for group formation in elderly communities
【24h】

A genetic algorithm for group formation in elderly communities

机译:老年社区群体形成的遗传算法

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Over the last few years, agent technology has proposed different approaches for the development of systems that support the formation and dynamic management of teams or groups. Following this idea, this paper proposes a model for group formation in elderly communities defining it as a Coalition Structure Generation Problem. Specifically, the proposal has been used to analyse which is the best way to organize older people into activity groups in elderly communities. The model parameters are physical requirements, preferences and social relationships, being the model able to learn from each execution and improve the future configurations. The results show near-optimal solutions to all proposed scenarios, beating greatly the computational time of CPLEX, and flexibility to deal with different scenarios and configurations.
机译:在过去的几年中,代理技术为支持团队或团队的形成和动态管理的系统开发提出了不同的方法。遵循这一想法,本文提出了一个针对老年人社区中的群体形成的模型,将该模型定义为联盟结构生成问题。具体而言,该提案已用于分析哪种方法是将老年人组织成老年社区活动组的最佳方法。模型参数是身体需求,偏好和社会关系,是能够从每次执行中学习并改进未来配置的模型。结果表明,所有拟议方案的解决方案均接近最佳状态,大大超过了CPLEX的计算时间,并具有处理不同方案和配置的灵活性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号