基于遗传禁忌算法的案例检索策略  

Research on Case Retrieval Porcess Based on a Hybrid Approach Using Genetic Algorithms and Tabu Search

作　　者：黄继鸿[1] 雷战波[1] 李欣苗[1] 

机构地区：[1]西安交通大学管理学院,西安710049

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)

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.

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 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]