Abstract / Excerpt:

One of the problems people face today is to finding or knowing the appropriate meal that contains the right amount of calories that their bodies need. This study is about generating or suggesting a daily menu based on the user's physical information specifically their Recommended Calorie Intake (RCI), their allergies and their medical history. The study will be using the Constraint Logic Programming (CLP) approach. CLP is a type of logic programming that combines constraint solving and logic programming specification power. CLP is also used for solving constraint satisfaction problems (CSP), design, assigning, planning, scheduling and time-tabling problems. The researchers considered the user’s physical information, allergies, medical history and the diet or the user’s preference as the data to be used. The researchers also considered labeling (depth-first search) and optimization (branch and bound method) in finding the optimal solution to the problem.

Info

Source Institution	Ateneo de Davao University
Unit	Computer Studies
Authors	Cedric G. Granada, Camille Sharmaine A. Patenio
Page Count	23
Place of Publication	Davao City
Original Publication Date	March 1, 2015
Tags	Menu-planning, branch and bound, constraint logic programming, constraint satisfaction problem, depth-first search, recommended calorie intake

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