Method and system for evaluating weak imbalance degree of symbolic network

The invention discloses a method and a system for evaluating the weak unbalance degree of a symbol network. The method comprises the steps of generating an individual compressed representation according to an adjacency matrix by a roulette wheel gambling algorithm; PopSize individuals being randomly generated according to individual compressed representation and population size, and the initial population being obtained; initializing the initial population to obtain a parent population; the parent population being renewed maxGen times, and the offspring population obtained in the maxGen cyclebeing determined as the optimal population; updating the parent population includes selection operation, cross operation, mutation operation, rotation operation and local search for the parent population in turn. The fitness value of all individuals in the optimized population is calculated according to the fitness function, and the individual with the largest fitness value in the optimized population is determined as the