| Recently the human immune systems have aroused researcher's interest due to it useful mechanisms which can be used exploited for information processing in a complex cognition system. The scope of this research is not to reproduce any immune phenomenon accurately, rather 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 and applied in the problems associated with image registration and configuration of multiple sensor systems. The simulation results show that the immune algorithm can successfully obtain the global optimum with lesser computational cost compared to other traditional algorithms. Therefore this method has a potential application in other optimization problems. |
