Genetic Algorithm for Scheduling Diet Case: Liver Patient

M. F. Syahputra, R. F. Rahmat, Dian Aria Ningsih, U. Andayani

2018

Abstract

The main function of liver is to process the absorbed nutrients from food consumed. Several factors that affect its functions are alcohol, infection, drugs or herbal medicine, cancer, autoimmune disease, etc. Balanced and healthy diet can help the liver patients to heal the disease by considering the calorie needs. In this research, we schedule diet for liver patients by using genetic algorithm, which starts from calculating patient’s calorie needs and then initializing the population, calculating fitness score, performing crossover and mutation. Next, 7 individuals with the lowest score will be selected as a diet schedule in a week (7 days). From the 8 times of testing results, we get 0.5 lowest fitness score with 20 initial population and 100 generations. It shows that the greater the created generation, the more the opportunities to obtain best individual with fitness score approaching 0 (zero) or equal to 0 (zero).

Paper Citation

in Harvard Style

Syahputra M., Rahmat R., Ningsih D. and Andayani U. (2018). Genetic Algorithm for Scheduling Diet Case: Liver Patient.In Proceedings of the International Conference of Science, Technology, Engineering, Environmental and Ramification Researches - Volume 1: ICOSTEERR, ISBN 978-989-758-449-7, pages 1905-1909. DOI: 10.5220/0010091919051909

in Bibtex Style

@conference{icosteerr18,
author={M. F. Syahputra and R. F. Rahmat and Dian Aria Ningsih and U. Andayani},
title={Genetic Algorithm for Scheduling Diet Case: Liver Patient},
booktitle={Proceedings of the International Conference of Science, Technology, Engineering, Environmental and Ramification Researches - Volume 1: ICOSTEERR,},
year={2018},
pages={1905-1909},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010091919051909},
isbn={978-989-758-449-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference of Science, Technology, Engineering, Environmental and Ramification Researches - Volume 1: ICOSTEERR,
TI - Genetic Algorithm for Scheduling Diet Case: Liver Patient
SN - 978-989-758-449-7
AU - Syahputra M.
AU - Rahmat R.
AU - Ningsih D.
AU - Andayani U.
PY - 2018
SP - 1905
EP - 1909
DO - 10.5220/0010091919051909