摘要: During the last decade, field of artificial immune system (A1S) is progressing slowly and steadily as a branch computational intelligence (CI). There has been increasing interest in development models inspired by several immunological principles. In particular, some are building mimicking mechanisms biological (BIS) to better understand its natural processes simulate dynamical behavior presence antigens/pathogens. Most AIS models, however, emphasize designing artifacts - algorithms, techniques using simplified various functionalities. Like other biologically-inspired techniques, such neural networks, genetic cellular automata, AISs also try extract ideas from BIS order develop tools for solving science engineering problems. Although still relatively young, (AIS) emerging an active attractive, involving applications greater diversity
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