Aiming at the shortcomings of low accuracy and low efficiency of the conventional genetic algorithm, an improved chaos genetic algorithm is proposed to solve the problem of mixed batch blending. Firstly, turbulence of chaos is adopted to produce initial population. Secondly, a real number coding space is taken as genotype of the problem in which the crossover and mutation operations are carried out. Thirdly, after the crossover, mutation and selection operations are performed, turbulence of chaos is once again applied to those individuals with relatively low fitness so as to accelerate the speed of convergence. In the experiment, both our improved chaos genetic algorithm and the conventional genetic algorithm are utilized to solve the problem of mixed batch blending of Chinese herbal medicine. As the experimental results show, our improved chaos genetic algorithm is proved to be superior to the conventional genetic algorithm with respect to accuracy and efficiency.
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