1 / 6

Intelligent Pathfinding Game AI with Genetic Algorithm Optimization

Explore advanced game AI techniques like A* pathfinding, state machine decision making, and genetic algorithm optimization. Learn how to implement obstacle avoidance and optimize gameplay using genetic algorithms. Dive into technical details of graphics with OpenGL, file handling for text files, sound with Fmod, and data storage structure. Progress so far includes obstacles, projectiles, player, tokens, menus, and textures/sprites. Have questions? Ask away!

evangeline-kline
Télécharger la présentation

Intelligent Pathfinding Game AI with Genetic Algorithm Optimization

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Game AI • Path Finding – A* • Decision Making – State Machine • Optimization – Genetic Algorithm • Learning • Obstacle Avoidance

  2. Early Sample Picture.

  3. Technical Details • Graphics – OpenGL. • File handling – text files. • Sound – Fmod.

  4. Data to store Data format Structure <Rows><Columns> <tile id…………………> <…………………………> <obstacle id…………> <…………………………> File handling

  5. Progress so far. • Obstacles. • Projectiles. • Player. • Tokens. • Most of the Menus. • Textures / Sprites.

  6. Questions?

More Related