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Prenatal Nutrition Diet Generator Utilizing Modified Genetic Algorithm for Smartphone

Mary Isabel V. Segismundo and Benilda Eleonor V. Comendador
College of Computer and Information Sciences, Sta. Mesa Manila, Philippines
Abstract—The paper promotes a Prenatal Nutrition Diet Generator which utilizes modified genetic algorithm for smart phones. It is a mobile application designed to generate optimum diet suggestions for pregnant women to assist the user on improving prenatal health. The said application adopts modified genetic algorithm in order to generate a nutritional diet consists of 1) breakfast, 2) fruits, 3) lunch, 4) drinks, 5) snacks and 6) dinner which is a suitable algorithm for the optimization of suggestions. To evaluate the developed tool, the proponents used descriptive research method. The prototype was tested and evaluated based on the following criteria: correctness of the output, reliability of the system, accuracy of computations, functionality of the system, user-friendliness of the interface and speed of the system.

Index Terms—diet generator, genetic algorithm, mobile application development

Cite: Mary Isabel V. Segismundo and Benilda Eleonor V. Comendador, "Prenatal Nutrition Diet Generator Utilizing Modified Genetic Algorithm for Smartphone," Jounal of Automation and Control Engineering, Vol. 3, No. 1, pp. 56-60, February, 2015. doi: 10.12720/joace.3.1.56-60
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