Evolutionary optimization method and system for e-government affair performance assessment management

The invention discloses an evolutionary optimization method for e-government affair performance assessment management. The evolutionary optimization method comprises the following steps: constructing a chromosome formalized random vector initial population of e-government affair performance assessment indexes; calculating a fitness function value according to the scoring completion condition, the importance weight and the special priority set values of the e-government affair performance assessment indexes; sequencing the chromosome vectors of the e-government affair performance assessment indexes according to the fitness function value, and judging whether the optimal chromosome vector meets an optimization target or not; if the optimal chromosome vector meets the optimization target, ending the algorithm; otherwise, generating a new chromosome vector through the mutation operation of the chromosome vector and the crossover operation between the two chromosome vectors, adding the new chromosome vector into the current population, and calculating the fitness function value of the new chromosome vector, sorting all chromosome vectors of the current population according to the fitness function value, and eliminating the last chromosome vector; judging whether the optimal chromosome vector meets an optimization target or not, and if the optimal chromosome vector meets the optimization target, ending the algorithm; otherwise, carrying out iterative evolutionary optimization again through the mutation operation and the crossover operation until the optimal chromosome vector meets the optimization target. The method can promote efficiency improvement and intelligence of e-government performance assessment management.