Immune Algorithm To The Principles Of Applied Research And Wing Structural Layout Optimization

In the last few years , Artificial immune systems has great development , becomes a new knowledge . It can be applied to many places. In the first half of this paper, a introduction of Artificial immune systems is presented that included the evolution of the AIS during past few years , artificial immune algorithms , its mechanism and potential . The second half of the paper presents the research of the layout optimization of aircraft wing .In chapter 2 , based on the biologically inspired systems , there is an presentation of hiberarchy , mechanism and characteristic of AIS . In chapter 3, the text is concluded with the development of several immune engineering algorithms .These mainly include algorithms based on colony and algorithms based on nets . There are also presentations of the immunological mechanism of the algorithms that they contain .The effect and blemish of these algorithms are discussed .In chapter 4 , the relationship between AIS and other artificial systems are discussed , especially the Genetic algorithm and Neur network systems . Then several ways of improving artificial immune system by other artificial systems such as ANN and PSO are presented .In chapter 5 , this paper presents an immune improved genetic algorithm which contains two selection during the evolution .The new algorithm can avoid the "precocity " that usually appears in the standard genetic algorithm. In the text, there is discussion about the foundation of the most important part of the algorithm: select probability and antibody density .The new algorithm was used in the structure optimization design and compared with results of standard genetic algorithm. The result was acceptable.In chapter 6 , the paper presents the research of the layout optimization of aircraft wing .Because the topology optimization is not perfect, we could not design the layout of the wing directly .But we can simulate the affect of the position of the girder while the wing carry aerodynamics by response surface method . Before this ,we should acquire the finite element model of the wing and the aerodynamics . In chapter 7,as the target that we want is layout optimization of girder in aircraft wings , so the position of the girder in the wing can be a factor .With the thickness of wing skin and girder boards , the ten factors ,we can carry on experiment design . Consequently we can acquire the response surface about the weight and the ten factors , so are the displacement and max stress in the structure . Then the optimization can be done .We can acquire the perfect layout of the front girder in the wing .