Reverse auctions are widely used for centralized procurements in large enterprises and government department．The bid evaluation mechanism is a key factor for a fair auction and resource allocation． The current bid evaluation process is usually done by two groups，a business and a technical expert group，respectively．When human factors are taken into consideration，the antagonistic feelings and noncooperation behaviors between groups inevitable preveal． Firstly，the paper constructs a noncooperative game model based on grouped bid evaluation behaviors in order to analyze the conditions for achieving a long-term cooperative equilibrium between groups，meanwhile，it obtains the replicator dynamics equations about the technical-business experts game． Secondly，it analyzes the evolution paths and the factors influencing the bidding evaluation behaviors based on the evolutionary game．We also describe the effect of individuals’choice of policy on group behaviors．Third，to maximize the clarity on these bid evaluation behaviors，we develop a simulation system based on the evolution process and run it several times on a Matlab GUI platform，which is convenient for adjusting relevant parameters．The simulation results prove the effects of decision-making parameters as well as start-up variants on initial conditions that determine further ( possible) evolutions．The methods and results presented in this paper can enhance the decision-making support of administrative departments in their bid evaluations of procurements in order to guide the referee experts’behaviors into the desired channels to achieve optimal outcomes，so that a more judicious bidding evaluation process may result．