Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Diet planning for humans using mixed-integer linear programming

D Sklan1, I Dariel

  • 1Faculty of Agriculture, Hebrew University, Rehovot, Israel.

The British Journal of Nutrition
|July 1, 1993
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Superoxide dismutase: A possible protective agent against sunscald in tomatoes (lycopersicon esculentum mill.).

Planta·2013
Same author

The effect of dietary lecithin and lipase, as a function of age, on n-9 fatty acid incorporation in the tissue lipids of Sparus aurata larvae.

Fish physiology and biochemistry·2013
Same author

Direct determination of optimal amino acid intake for maintenance and growth in broilers.

Poultry science·2005
Same author

Weight loading young chicks inhibits bone elongation and promotes growth plate ossification and vascularization.

Journal of applied physiology (Bethesda, Md. : 1985)·2005
Same author

Mucin dynamics and microbial populations in chicken small intestine are changed by dietary probiotic and antibiotic growth promoter supplementation.

The Journal of nutrition·2005
Same author

Microflora ecology of the chicken intestine using 16S ribosomal DNA primers.

Poultry science·2004
Same journal

Rural Diets Under Pressure: Food Environments and their Influence on Diets in South Asia.

The British journal of nutrition·2026
Same journal

Methodological challenges in translating nutrition evidence into the Australian Dietary Guidelines.

The British journal of nutrition·2026
Same journal

Beyond current fibre recommendations: associations of high dietary fibre intake with inflammation and lipid profile in US adults (NHANES 2015-2018).

The British journal of nutrition·2026
Same journal

Changes in food patterns over a 10-year period in the UK adult population; findings from the National Diet and Nutrition Survey.

The British journal of nutrition·2026
Same journal

Gut Microbiome and Environmental Enteric Dysfunction Are Unchanged by 18 Months of Small-Quantity Lipid-Based Nutrient Supplementation among Young Children in Lusaka, Zambia.

The British journal of nutrition·2026
Same journal

The Effect of Asparagus Stem Consumption on Health Outcomes in Adults: A Systematic Review.

The British journal of nutrition·2026
See all related articles

This study introduces a computer model for efficient human diet planning. It uses a mixed-integer linear-programming algorithm to create cost-effective diets meeting all nutritional needs.

Area of Science:

  • Nutritional Science
  • Computer Science
  • Operations Research

Background:

  • Traditional diet planning is manual, iterative, and time-consuming.
  • Existing methods often result in suboptimal dietary compositions.
  • There is a need for efficient and accurate diet formulation tools.

Purpose of the Study:

  • To present a computerized model for human diet planning.
  • To optimize diets for minimum cost while meeting all nutritional requirements.
  • To maintain nutrient relationships and preserve eating practices.

Main Methods:

  • Utilized a mixed-integer linear-programming algorithm.
  • Developed linear equations for nutritional requirements and nutrient relationships.
  • Incorporated logical definitions for food usage, exchange groups, and meal energy content.

Related Experiment Videos

  • Defined foods typically consumed in whole units as integers.

    • Main Results:

    • The model accurately plans diets meeting all nutritional requirements at minimum cost.
    • It efficiently handles a wide selection of basic foods and clinical situations.
    • The system demonstrates versatility in diet formulation.

    Conclusions:

    • The developed computerized model offers an accurate and efficient method for diet formulation.
    • It overcomes the limitations of traditional manual diet planning.
    • This approach supports personalized nutritional interventions and cost-effective dietary planning.