The invention discloses an optimal consensus node selection method based on a genetic algorithm, and mainly solves the problems of low efficiency and long time consumption of a common consensus algorithm when an optimal consensus node is determined in the prior art. The method comprises the following steps: (S1) respectively encoding a plurality of participation nodes into corresponding chromosomes to obtain a plurality of encoded chromosomes; (2) performing selection, crossover, variation and feasibility detection operation on each chromosome in the plurality of chromosomes; and (S3) selecting the individuals meeting the fitness function, solving the optimal solution through the fitness function, solving the optimal solution if the requirement of the fitness function is met, and returningto continue to execute the step (S2) if the requirement of the fitness function is not met until the optimal solution is obtained. By means of the scheme, the purposes of high transaction efficiencyand short processing time are achieved, and high practical value and promotional value are achieved.