Multi-food material nutrition proportioning method based on genetic algorithm

• Main Authors: ZENG HONGXI, ZHOU FAN, LIN GE, DENG XIANJIE
• Format: Patent
• Language: Chinese; English
• Published: 11.12.2020
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

The invention discloses a multi-food material nutrition proportioning method based on a genetic algorithm. The method comprises: creating a food material database; inputting required nutrients and recommended intake thereof by a user, and selecting alternative food materials; searching food materials input by a user in a food material database, exporting corresponding nutritional ingredients of the food materials, and constructing a linear programming equation in combination with nutrients input by the user and recommended intake of the nutrients; solving the equation by utilizing a genetic algorithm improved by crossover probability and mutation probability, then eliminating food materials which are too small in weight and too close to each other, and outputting a final food material proportioning scheme. According to the invention, the accuracy of nutrition catering can be improved, and the accurate quality of each food material can be given; based on the improved genetic algorithm,the convergence rate of t