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Application of Artificial Intelligence for Weekly Dietary Menu Planning

  • Balázs Gaál
  • István Vassányi
  • György Kozmann
Part of the Studies in Computational Intelligence book series (SCI, volume 65)

Abstract

Dietary menu planning is an important part of personalized lifestyle counseling. The chapter describes the results of an automated menu generator (MenuGene) of the web-based lifestyle counseling system Cordelia that provides personalized advice to prevent cardiovascular diseases. The menu generator uses Genetic Algorithms to prepare weekly menus for web users. The objectives are derived from personal medical data collected via forms, combined with general nutritional guidelines. The weekly menu is modeled as a multi-level structure. Results show that the Genetic Algorithm based method succeeds in planning dietary menus that satisfy strict numerical constraints on every nutritional level (meal, daily basis, weekly basis). The rule-based assessment proved capable of manipulating the mean occurrence of the nutritional components thus providing a method for adjusting the variety and harmony of the menu plans. By splitting the problem into well determined subproblems, weekly menu plans that satisfy nutritional constraints and have well assorted components can be generated with the same method that is used for daily and meal plan generation.

Keywords

Nutrition Counseling Meal Plan Numerical Constraint Daily Plan Nutritional Constraint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Balázs Gaál
    • 1
  • István Vassányi
    • 2
  • György Kozmann
    • 3
  1. 1.Department of Information SystemsUniversity of PannoniaVeszprémHungary
  2. 2.Department of Information SystemsUniversity of PannoniaVeszprémHungary
  3. 3.Department of Information SystemsUniversity of PannoniaVeszprémHungary

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