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This work investigates a simple immune optimization algorithm in noisy environments for chance constrained programming problems without a priori noisy information. It bases on stochastic simulation and some immune metaphors in the clonal selection principle. The key of the algorithm is to design an adaptive sample allocation scheme and to construct the immune operators of dynamic proliferation and...
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