A framework of AIS based pattern classification and matching for engineering creative design

The artificial immune system (AIS) is a newly emerged biological computing technology that draws inspiration from vertebrate immune systems. From the computation point of view, AIS is powerful at learning and recognition; hence, a novel paradigm for machine learning and pattern recognition forms. Engineering creative design can be viewed as constraint satisfaction problems, which is NP-hard in essence, thereby it is generally hard for classical methods to solve. Since AIS has great potentials in solving hard and complex problems, it motivates the authors to explore the field of creative mechanism pattern synthesis, one of the most challenging fields in engineering creative design, with AIS. Specially, an engineering framework of AIS based pattern classification and matching is proposed, and the preliminary experiment results show the validity of the proposed method.