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The combination of an artificial immune system (AIS) with a genetic algorithm (GA) is proposed as an alternative to tackle constrained optimization problems. The AIS is inspired in the clonal selection principle and is embedded into a standard GA search engine in order to help move the population into the feasible region. The procedure is applied to well known test-problems from the evolutionary computation literature and compared to other alternative techniques.
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