PhD Thesis - Code & Publications

Risk-aware decision-making & control of autonomous ships

Simon Vinding Blindheim

This repository contains code for figures presented in the following article:

• Autonomous Machinery Management for Supervisory Risk Control Using Particle Swarm Optimization (2023)

See also the articles directory to find each conference and journal article as a PDF.

The complete PhD thesis may be found here.

Usage

Clone the repository from GitHub:

git clone https://github.com/simbli/amm.git

Create and activate a Conda environment from the provided YAML file:

conda update -c conda-forge conda
conda env create --f env.yml --name amm 
conda activate amm

Import the thesis package and run the create function to generate a figure, as in the below example:

import thesis

thesis.create('2023amm', 8)
thesis.create('2023amm', 9)
thesis.create('2023amm', 10)
thesis.create('2023amm', 11)
thesis.create('2023amm', 12)
thesis.create('2023amm', 13)
thesis.create('2023amm', 14)
thesis.create('2023amm', 15)
thesis.create('2023amm', 16)
thesis.create('2023amm', 17)
thesis.create('2023amm', 18)

See a2023amm.py for the implementations and image descriptions of all available figures.

License

This work uses the MIT license.