Publication Type : Conference Paper
Thematic Areas : Learning-Technologies
Publisher : International Conference on Advances in Computing, Communications and Informatics (ICACCI)
Source : International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2018.
Url : https://www.researchgate.net/publication/329398859_Genetic_Algorithms_for_Vaccination_Tour_Planning_in_Tribal_Areas_in_Kerala
Campus : Amritapuri
School : Department of Computer Science and Engineering, School of Engineering
Center : Technologies & Education (AmritaCREATE), Amrita Center For Research in Analytics
Department : Computer Science
Year : 2018
Abstract : We consider the problem of optimal planning of tours, during an extensive vaccination campaign. Our primary goal was to vaccinate as many children as possible, while investing as little resources as possible. The trade-off between the number of dispensed vaccinations and the magnitude of invested resources in the vaccination campaign is formulated as a bi-objective optimization problem. We discuss how the Pareto front, for this problem, can be deduced using genetic algorithms. We verified the viability of our approach in the planning of the Measles and Rubella (MR) Campaign in tribal areas of Kerala, a state in southern India.
Cite this Research Publication : Georg Gutjahr, Kamala, K. A. S., and Prof. Prema Nedungadi, “Genetic Algorithms for Vaccination Tour Planning in Tribal Areas in Kerala”, in International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2018.