Abstract:

Due to a number of contradictory design requirements of missile launch systems with outstanding performances， such as heavy load， light weight， low cost and rapid response， parameter-matching optimization on multiple constraints is indispensable. In respect to above problems， association rule mining is applied to study the effect of launch system design factors in this paper. Association rules mining model of launch system design factors is established. In addition to support-confidence framework， Kulc and IR are led into pattern evaluation to enhance the mining accuracy. An engineering example is carried out to study the effect of design parameters on rapid response. The results of the example indicate the method in this paper is able to identify the factors that play critical roles in rapid response and to realize the purpose of design space refining， optimization problems simplification and design optimization efficiency improvement.

Key words: association rule, data mining, launch system, rapid response, design factors, design optimization

摘要：

当今高性能发射系统追求的大负载、轻量化、低成本、敏捷响应等设计要求通常是相互矛盾的，必须考虑多种约束条件下，多参数匹配的综合优化，才能突破系统各性能指标相互制约的瓶颈。针对以上问题，采用关联规则挖掘方法研究了发射系统设计因素的影响，建立了发射系统设计因素关联规则挖掘模型。在“支持度-置信度”模式的基础上，引入附加评估度量Kulc和IR，提高挖掘结果的准确性。通过工程算例，研究了设计参数对发射系统敏捷响应能力的影响。算例结果表明，提出的方法能够识别对敏捷响应能力起关键作用的设计变量，实现精炼设计空间、简化优化问题，以及提高设计优化效率的目的。

关键词: 关联规则, 数据挖掘, 发射系统, 敏捷响应, 设计要素, 设计优化