Community Projects
The Data and Decision Sciences Lab is constantly working with local community partners on several data related projects that have a local and global impact.
Optimization of Resource Use and Price Forecasting in Massively Multiplayer Online Games
Year: 2016
Team Members Involved
-
- Betty Love
-
- Andrew Cockerill
With over 400 million players worldwide, massively multiplayer online games (MMOs) continue to be a popular source of online recreation. MMOs frequently involve resource management and virtual economies. This project demonstrates the introduction of optimization strategies in the MMO game World of Warcraft. A simulated annealing algorithm was implemented in a Lua script which runs in the game’s user interface and determines how to use the player’s current resources to maximize virtual profit.
Example of the Game Interface with the Optimizer Implemented
