The invention discloses a structured grid load balancing method based on LPT local optimization, and aims to overcome the defects of an existing load balancing method and improve the load balancing rate and the calculation speed. The technical scheme is based on a genetic algorithm on the whole, and includes totally eleven steps of configuring parameters, initializing populations, calculating theadaptability, carrying out the local optimization on the LPTSize/2 chromosome fragments with the maximum fragment value and the LPTSize/2 chromosome fragments with the minimum fragment value in each chromosome by adopting an LPT method, carrying out the condition judgment, carrying out update judgment, performing population updating, selecting operators, crossing the operators and varying the operators, and outputting the best load balancing mode. According to the invention, a plurality of chromosome fragments with maximum and minimum chromosome fragment values in each chromosome are locally optimized; the fitness of the whole chromosome is improved, the population updating is carried out, the population is not prone to premature, a program is not prone to ending too early, a globally optimal solution can be obtained, and the parallel computing load balance rate of the whole structured grid is improved.