Inspired from the experience of genetic and clone algorithm, propose an algorithm of danger model immune algorithm (DMIA) according to the danger model theory. It has a good performance in function optimization. From the simulation result, we can see that DMIA is valid, and also with higher efficiency than genetic algorithm.
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artificial immune systems,genetic algorithms,artificial immune algorithm,clone algorithm,danger model immune algorithm,danger model theory,function optimization,genetic algorithm
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