摘要: To figure out a Pareto result for renewable energy big data(REBD) transactions, a vector evaluation genetic algorithm(VEGA) based trading strategy optimization method was proposed in this paper. Big data evaluation system was design to calculate the objective function of VEGA. All-round dimension of REBD was used to set up the evaluation system and AHP based fuzzy evaluation is adopted to solve the problem in weight assignment. Buyers and sellers can obtain their earnings of each transaction strategy through this evaluation system. Thus, the problem of accessing win-win REBD transactions is converted into a multi-objective optimization problem. The Vector evaluation genetic algorithm was used to solve the transaction optimization problem. By searching the non-inferior solution of all proposals, the pareto result can be figured out ultimately. The accuracy of the proposed algorithm is verified by experimental result of real-world REBD transaction process.