Application of artificial immune algorithms in multiple sensor system

Recently the human immune system arouse researchers interest since it has several useful mechanisms which can be used to information processing as a complex cognition system. Here it is not our concern to reproduce any immune phenomenon accurately, but to show that immune concepts can be applied to develop powerful computational tools for data processing. From this viewpoint, an improved artificial immune algorithm is presented in applying in the problems of image registration and configuration of multiple sensor system. The simulation results show that the immune algorithm can successfully obtain the global optimum with much less computational cost compared to other traditional algorithms. Hereby, we can say this new method can also be applied to other optimization problems.