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A hybrid intelligent model combining relevance vector machine (RVM) and genetic algorithms (GA) was developed for optimal control of parameters to predict (based on the current months variables) and forecast (based on the previous months variables) the non-linear phytoplankton dynamics in Macau Main Storage Reservoir (MSR) that is experiencing algal bloom problems in recent years.