Development of Web-Based Menu Planning Support System and its Solution Using Genetic Algorithm
Abstract
Recently lifestyle-related diseases have become an object of public concern, while at the same time people are being more health conscious. As an essential factor for causing the lifestyle-related diseases, we assume that the knowledge circulation on dietary habits is still insufficient. This paper focuses on everyday meals close to our life and proposes a well-balanced menu planning system as a preventive measure of lifestyle-related diseases. The system is developed by using a Web-based frontend and it provides multi-user services and menu information sharing capabilities like social networking services (SNS). The system is implemented on a Web server running Apache (HTTP server software), MySQL (database management system), and PHP (scripting language for dynamic Web pages). For the menu planning, a genetic algorithm is applied by understanding this problem as multidimensional 0-1 integer programming.
- Publication:
-
Iaeng Transactions on Engineering Technologies Volume 3: Special Edition of the International MultiConference of Engineers and Computer Scientists 2009
- Pub Date:
- October 2009
- DOI:
- 10.1063/1.3256261
- Bibcode:
- 2009AIPC.1174...56K
- Keywords:
-
- fuzzy logic;
- neural nets;
- numerical analysis;
- 07.05.Mh;
- 84.35.+i;
- 02.60.-x;
- Neural networks fuzzy logic artificial intelligence;
- Neural networks;
- Numerical approximation and analysis