摘要
将遗传算法和禁忌算法引入案例推理系统,首先使用遗传算法对案例检索中案例属性的权重进行优化,提出了基于遗传禁忌混合算法的检索策略,并应用于基于案例推理的企业财务危机智能预警支持系统,提高了系统的效率和质量。
This paper introduces a hybrid approach using genetic algorithim and tabu search(GATS) into case-based reasoning system. Firstly, GA is used to find an optimal or near optimal weight vector for the attributes of cases in case indexing and retrieving. Then a retrieval process is proposed based on the hybrid approach using GATS, which is applied to intelligent early-warning support system for enterprise financial crisis based on case-based reasoing and improves both accuracy and efficiency of the system.
出处
《系统工程理论方法应用》
2004年第1期10-13,共4页
Systems Engineering Theory·Methodology·Applications
基金
国家自然科学基金项目(79970012)
国家自然科学基金重大项目(59990470-4)
关键词
遗传禁忌算法
案例检索
案例推理
智能预警支持系统
人工智能
适应度函数
genetic algorithim and tabu search(GATS)
case retrieval
case-base reasoning
intelligent early-warning support system
