关键词: 案例检索模型, 遗传算法（GA）, 层次分析法（AHP）

Abstract: Case retrieval model directly impacts Case-based Reasoning.This text combines Genetic Algorithm（GA） and the Analytic Hierarchy Process（AHP） to optimize parameters of Case-Based Reasoning（CBR） systems.This research mainly considers three research issues regarding the effective case indexing and retrieval feature selection，feature weighting and instance selection.In this study，the hybrid feature and instance selection process using genetic algorithms.At the same time makes use of experience and feature weighting log file to lean amending feature weighting.Apply the proposed model to a multi-strategy data-mining system case based on travel industry.Experimental results show that the proposed technique may improve the efficiency of case indexing and outperform various optimized models of the typical CBR system.

Key words: case retrieval model, Genetic Algorithm（GA）, Analytic Hierarchy Process（AHP）