With the spread of various risks and adverse events in the world, which is partly caused by the increase in economic, social and political activities, uncertainty about the future has increased. Risk is one of the basic concepts. Therefore, in this research, the risk management model has been designed using innovative models in line with optimal risk management and providing practical suggestions to reduce risk and increase investment returns. In terms of methodology and the method of data collection, it is considered a descriptive research that has been implemented post-event. In order to collect data in this research, library and document methods were used. The statistical population of this research is the active companies in the food industry accepted in the Tehran Stock Exchange, and in this regard, an example of Koroosh Food Industry Company with the symbol of Ghakoroosh in the period of 2016 to 2018 was considered. In order to analyze the data, the meta-innovative model of genetics was used using Matlab software to provide the best model for risk management. The findings showed that the range of points in the two-stage optimization mode has a wider time and cost, and the anchor resources provide us with larger numbers than the three-objective optimization mode. Besides, in some places, due to the two-stage optimization, according to the specified time and cost, the source anchor has not been obtained. In addition, due to the optimization in two separate stages, a regular trend has not been seen among the resource anchors.