The time is finally upon us. The art portion of the Liberated Pixel Cup has reached its deadline, which means that the programming portion of the contest has begun! The competition is a month long in which us code monkeys need to use the art assets that were generated to make the best possible game that we can. Since this pixel cup is “liberated”, all of the source code will be available under the GPLv3.
I am working with someone that I only through IRC (#liberatedpixelcup on Freenode) with the nickname of fr33mind. We will be making a Pokemon inspired game where you control monsters to use in combat. The actual gameplay details will get fleshed out more as the competition goes forward.
We are using libGDX to make the game. LibGDX is a fantastic Java library that allows us to write a game that runs on the desktop (GNU/Linux, Mac, Windows) and on Android devices with very little platform specific code.
Above is a screenshot of my experiments with libGDX. Here you see a path of ghosts that was generated by my implementation of the A* pathfinding algorithm. It took a long time to wrap my head around it but it is a crucial element to the game considering that users will move across the map not only with arrow keys, but by touching/clicking areas on the map (my Android phone has no D-pad). This makes decent pathfinding a must have so I wanted to try to get it out of the way early. The code performs well on the desktop but for some reason takes about 3 seconds to run on my Android phone, which is a serious problem. My choice of data structures or too much memory allocation could be the problem and I need to investigate who the culprit is. I’m using a PriorityQueue and a HashMap to maintain lists, and a Pool (in libGDX) to minimize memory allocation, yet the problem persists.
I’m going to try to keep this development blog going over the course of the month with screenshot updates. Let’s see if I can manage to actually do that.
UPDATE:
Turns out the performance problem was because of how I was drawing the path on screen and NOT the algorithm itself. I have since abstracted away the things that are dependent upon a specific tile map implementation and have a rather generic set of classes to use for pathfinding.
From the blog David Thompson » WSU CS by davexunit and used with permission of the author. All other rights reserved by the author.