Assignments WS 2021/2022
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Spread of covid19 in closed/open area markets
In winter 2021 in Czechia the christmas markets were banned due to another covid19 infection wave. On the other hand people are free to go into shopping malls. It would be interesting to use existing data about covid19 virus transmission in agent based simulation to see how many people get infected and in what speed depending on whether they are in a christmas (open) market, or in a shopping mall (closed). The main goal will be to see if the simulation would backup the decision that has been made about christmas markets.
Possible research papers that contain data about covid spreading
- Kaggle notebook - Covid19, Evolution, Transmission, Spatial Patterns
- Research - Understanding COVID-19 transmission, health impacts and mitigation: timely social distancing is the key
This simulation would be realised using NetLogo.
Summary:
WHAT will be simulated
- market place, which can be both open space or closed space.
- people with or without masks, who will walk from shop to shop, with some intention and some of them will be virus carriers
- virus, which will spread in places where people go through (depending on the closed/open area, the infection rates will differ)
GOAL of the simulation
- answer the question: "Where is the virus spread more significant? At the market place, or at the shopping mall?"
TOOL used for the simulation
- NetLogo
- Agent based simulation
Author: Angel Kostov, xkosa20
Effects of COVID-19 vaccination on the spread of infection
Simulation
Currently, there is a new wave of the COVID-19 pandemic. Although a certain percentage of the population has already been vaccinated, this is not enough to prevent further COVID-19 measures. The purpose of the simulation is to show how COVID-19 vaccination affects the spread of the pandemic. I will use an agent-based model to simulate the scenario based on existing scientific data. In addition, current COVID-19 measures are considered.
The goal is:
- to determine how vaccination reduces the spread of infection.
Method
- NetLogo
Author: Laura Kundmueller
Simulation of genetic algorithm: Travelling Salesman Problem
Simulation
The topic of this simulation is an old graph problem, Travelling Salesman Problem. My approach would be based on genetic learning algorithm. A random map will be generated at the start. Salesman is travelling in a car with some gas. The gas is used as he travels, it can be recharged at gas stations but it costs money. The map contains some hills and flat roads, which have a different cost of gas when going through.
The goal is:
- to find the optimum path between the towns.
The parameters are:
- number of agents (travelling salesmen)
- gas in car
- money
- number of towns
- number of hills
- number of gas stations
Method
- NetLogo
Author: Tomáš Martínek, mart13
