The aim of this coursework was to develop an evolutionary algorithm that would optimise the weights of a multi-neuron percepton for employment in the automated moon landing problem. The included report documents the implementation and parameter tuning of two solutions: a steady state genetic algorithm and an application of the simulated annealing technique.
-
Notifications
You must be signed in to change notification settings - Fork 0
belvederef/SET10107-Computational-Intelligence-CW
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Computational Intelligence: evolutionary algorithm that optimises the weights of a multi-neuron percepton for employment in an automated moon landing problem.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published