Title :
Evolutionary computation in engineering artificially immune (EAI) system
Author :
Nohara, B.T. ; Takahashi, Hiroko
Author_Institution :
Dept. of Eng. Sci. & Mech., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Abstract :
In this paper, immune networks and the non-network type of engineering artificially immune (EAI) systems are discussed. Moreover, the evolution of the non-network-type EAI system is proposed. The conventional EAI system is treated in a "closed" world, where all antigens are well-known. "Closed" means isolation from the outer world. However, new species of viruses, bacteria, and unknown foreign substances happen to arise in the real world. A new species of antigen affects severe damage to the host. In order to overcome this situation, the EAI system must develop an evolutionary function: to obtain antibodies against a new species of antigens
Keywords :
biocybernetics; diseases; evolutionary computation; antibodies; antigens; bacteria; closed world; engineering artificially immune system; evolutionary computation; evolutionary function; host damage; immune network; immunology; new species; nonnetwork-type system; unknown foreign substances; viruses; Acquired immune deficiency syndrome; Blood vessels; Chemicals; Evolution (biology); Evolutionary computation; Immune system; Insulation; Medical treatment; Systems engineering and theory; Vaccines;
Conference_Titel :
Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
Conference_Location :
Nagoya
Print_ISBN :
0-7803-6456-2
DOI :
10.1109/IECON.2000.972390
