Trend Balanced Genetic Algorithm for Blending Optimization of Traditional Chinese Medicine

To ensure the quality of traditional Chinese medicine is a key task for manufacturers of traditional Chinese medicine. In this paper, a novel method based on an improved trend balanced genetic algorithm is used for blending optimization in order to ensure the quality of traditional Chinese medicine. Our newly designed genetic algorithm is composed of 4 operators including a trend crossover operator, a trend mutation operator, a trend balance operator and a trend selection operator based on our trend balanced theory. In the experiment, our trend balanced genetic algorithm is more accurate and efficient than those of traditional genetic algorithm and non-linear least square method.