Modeling And Solution Of Income Distribution In R&D Alliance Of New Energy Vehicle Industry

New energy vehicles help to solve the problems of energy shortage,energy security and environmental pollution,which have been vigorously promoted by countries all over the world.In reality,many new energy vehicle Research and development alliances eventually fail because of the unreasonable income distribution.In order to ensure the vigorous development of China’s new energy vehicle industry,it is necessary to deeply study the payoff distribution of alliance.At present,the academic research on alliance income distribution mainly focuses on the cooperative game theory and the concept of reconciliation.In reality,the final allocation scheme of alliance income is usually obtained through round after round of negotiation.The traditional concept of reconciliation in cooperative game theory is solved from the perspective of the rationality of the allocation scheme of alliance members and the contribution of alliance members to the alliance.Therefore,it is impossible to empirically describe the interactive decision-making behavior of alliance members in the process of negotiation,which makes it difficult to solve the problem The solution of the problem is used in practice.In view of this,based on the cooperative game theory and swarm intelligence optimization theory,this paper models the distribution of alliance income,considers the status of alliance members and individual interest demands,guarantees the stability of the alliance with individual rationality constraints and group rationality constraints,introduces rational factors and control factors to analyze the game attitude of alliance members that cooperation and competition coexist,and proposes a description method This paper studies the compromise and convergence behavior of alliance members in the process of alliance formation,and uses an improved continuous ant colony algorithm to solve the problem.The feasibility of the model and the superiority of the improved algorithm are verified by taking the income distribution problem of new energy vehicle industry R&D alliance as an example.This paper studies the income distribution of alliance.In theory,on the basis of cooperative game theory,with the help of swarm intelligence optimization theory,a profit distribution model considering the interaction among alliance members is established.The model can better reflect the formation process of alliance distribution scheme in the real game environment,which provides a new idea for the solution of alliance profit distribution and enriches the cooperative game theory.This paper analyzes and improves the shortcomings of the original continuous ant colony algorithm in solving the alliance income distribution problem,improves the effectiveness of the algorithm and the advantages of speed and precision,significantly improves the algorithm performance,and promotes the development of continuous ant colony optimization theory;in practical application,when the alliance income distribution is in reality,the alliance members agree and agree on the expected income value of the alliance In view of the fact that the status of the players in the alliance is different,the continuous ant colony algorithm is further expanded,and the model and algorithm are applied to the income distribution problem of the new energy automobile industry R&D alliance,which perfectly solves the payoff distribution problem of the alliance in reality.