Assignments WS 2021/2022

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

Optimizing the process of baking wedding sweets

Simulation There is a wedding tradition in Czech Republic of baking wedding sweets and then handing them out to the guests of the weeding as a form of invitation. Process of baking usually takes whole day and several helpers in the kitchen are needed. Into paper baskets are usually packaged two types of sweets: several small ones with 3 different flavours and one so-called "rohový koláč". Which are then delivered by the bride to wedding guests. For the purpose of this simulation are process and needed ingredients simplified.

The goal is: The goal is to optimize the number of helpers in the kitchen and find optimal amount of basic ingredients for specified numbe rof guests.

Method: Discrete simulation - SIMPROCESS

Entities:

• sweets
• paper baskets
• baking trays

Resources

• pastry-cooks
• bride
• flour
• sugar
• curd
• plum jam
• poppy seed filling

Process steps

• order for paper basket
• preparing sweets: small ones (3 different flavours), "rohove kolače" sweets (using all flavours)
• Baking in the oven
• Sugar coating
• Packaging
• Delivery

Author: Michaela Červinková (cerm18) (talk) 10:16, 8 December 2021 (CET)