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Based on the prediction and optimization algorithms, simulation platform provides its users with a simulation, deduction and optimization solution for various complex decision problems. The model building process can be divided into two steps, the first is to build a forward model via the visual interface, and the second is to create decision-making problems based on users’ actual needs. After the forward model is built, the users can select the corresponding optimization algorithm and then enter the simulation page. Forward simulation is to simulate the changes of primary and secondary goals by modifying the values of decision variables. Reverse optimization is to return the optimal solution that satisfies the constraints for the primary and secondary objectives through the intelligent optimization function. The platform has developed a scenario-based simulation system for complex decision-making problems in the fields of government policy-making, enterprise operations, economics and finance. As a result, the platform has transformed traditional decision-making methods from three aspects: visualization, ease of use, and intelligence.