Author: Natalie Thomas
Abstract: This project will explain Any Colony Optimization: the motivation for this method, how it works, in which problem context(s) it is applied, usefulness/performance vs other methods, and of course, demonstrate a basic implementation.
To do:
- add a module to
srcwith at least one function - add at least one unit test to the folder
test; - document all your functions and add a page to the documentation page;
- make a notebook in Pluto and add it to
notebooks; - perform a small code review of two other students.
Depending on the project you choose some of these individual assignments might be really minimalistic, with other parts larger. For example, if you want to develop an application, say solving the graph coloring problem with Tabu Search, you might have only a single function in the source code (e.g., generating an instance) but have a fairly large notebook with a tutorial. On the other hand, if you work on a method, e.g., implementing Bee Colony Optimization, you might have many functions in the source code, while your notebook is only a demonstration on the test functions.
