Self-adaptive obtaining water-supply reservoir operation rules: Co-evolution artificial immune system
We propose a reservoir operating rule extraction architecture inspired by self-adaptive learning of antibodies to antigens. We establish a co-evolutionary artificial immune system model to extract the water-supply reservoir operating rules. The model can self-adaptively track and adjust the population of the rules to be response to complex operation environment. The obtained rules can gain the experience of reservoir operation and provide more sufficient decision-making information.
water-supply reservoir operating rules co-evolution artificial immune system complexity adaptive system