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Background: Colleges and universities are the important support of national scientific and technological innovation, and research productions are the comprehensive embodiment of their strength. How to mobilize the enthusiasm of researchers and create a good atmosphere for researchers have research value. Objective: On the premise of the bounded rationality of researchers, this paper first briefly describes some practical issues in the field of evaluation of scientific achievements, establishing two major research objects: researchers and scientific research management departments. Methods: : By using the evolutionary game theory, this study establishes a two-side evolutionary game model in combination with the factors that affect the decision of researchers, and it proves the preconditions for an evolutionarily stable strategy based on replication dynamic thought and the criterion of evolutionary stability strategy. Based on MATLAB GUI platform, this paper develops the numerical simulation system of research investment and reward strategy and realizes the quantitative processing of the theoretical model. Results: Firstly, the evolution speed of the researcher choosing high research investment and the scientific management department choosing high research reward strategy is related to the selection ratio of this strategy; then, there is hysteresis in both parties’ mastery of each other’s strategy information; finally, while optimizing the conditions for scientific research and punishing academic misconduct, the administrative departments should regularly adjust their assessment indicators to create a good atmosphere for scientific research Conclusion: This paper will further solve engineering problems in the field of scientific research management.

Bidding evaluation mechanism is a key factor on the fairness of bidding and resource allocation. In practices, grouped multi-attribute bidding evaluation is the popular mechanism. In this approach, we combine behavior operation management and experimental economics in order to optimize current mechanism. To study the bid evaluation behaviors of grouped referees, we describe the model of grouped multi-attribute auction at first. Then, the existent problems in current bid evaluation mechanism of two groups are discussed and analyzed. We will describe the design of role-playing experiment and the results of an experiment analyzing the referee experts' behavior. The data from the results of behavior experiment show that it is easy to generate the antagonism with two groups of referee experts, as long as there are strong negative correlations between attributes. To reduce the antagonistic feelings of two referee groups, three improvement measures are proposed finally.