The invention discloses a combined chaotic genetic algorithm for resource allocation. The algorithm is characterized by firstly setting parameters and initializing each parameter, and definging the population gen=0; according to the specific resource allocation problem, generating a chaotic sequence, and then generating the initial population based on the chaotic sequence according to the scale ofthe specific resource allocation problem; judging whether gen is greater than max_gen, if gen is greater thanmax_gen, stopping the calculation flow and outputting the calculation result; otherwise, defining gen to be gen+1, sequentially carrying out the breeding operation, the hybridization operation and the mutation operation; then using the local search heuristic method to search for the best chromosomes in the population and preserving the best chromosomes in the population; then generating the next chaotic sequence for the next computation, after the calculation is completed, outputting the calculation result. The combined chaotic genetic algorithm of the invention effectively reduces the constraint number of the resource allocation model, improves the population quality, acceleratesthe convergence speed, and improves the global searching ability and the computational efficiency of the algorithm.