Name
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 veri fi ed 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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICACCI.2018.8554545 | 2018 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI) |
Keywords | Field | DocType |
Pareto front, bi-objective optimization, tour planning, team orienteering problem, genetic algorithms | Computer science,Measles,Rubella,Operations research,Vaccination,Optimal planning,Multi-objective optimization,Control engineering,Optimization problem,Genetic algorithm | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Georg Gutjahr | 1 | 0 | 2.37 |
| Kunjamma A. S. Kamala | 2 | 0 | 0.34 |
| Prema Nedungadi | 3 | 33 | 13.10 |