Research On The Application Of Improved Ant Colony Algorithm In Decision-Making Optimization Of Construction Project Subcontractor Selection

At present,the general contracting lead has been initially formed in China,leading all subcontractors to undertake special or professional projects and labor subcontracting and responsible labor management systems.Obviously,the healthy development of the construction market depends on being able to establish a clear and reasonable general subcontracting.system.With the increase in the number of construction companies,competition in the industry has intensified,and the internal and external environment for the survival of construction enterprises has become more severe.The level of subcontractors has been uneven.There are also situations in which subcontractors are anchored and the behavior of subcontractors is not standardized.In order to select a suitable and responsible subcontractor for the project,a relatively scientific and complete decision-making method that is consistent with the theory and practice is required.This article takes the general contractor or the owner as the background,and studies the issue of selecting multiple subcontractors for construction projects.Business’ s natural conditions and historical performance(Y),project team staffing(K),project cost(Q),preferential conditions(T),ability to perform contracts(H),financial status(F),coordination(P)These seven evaluation indicators are targeted at the multi-subcontracting decision-making optimization mathematical model of the project,and based on the improved ant colony algorithm,the established decision-making optimization mathematical model is solved,and a set of effective sub-contractor combinations are obtained for multiple bidding sections of the project..In order to verify the validity of the model,a practical case is finally used to verify the description.