Proceeding of the Electrical Engineering Computer Science and Informatics
Vol 5: EECSI 2018

Automatic Game World Generation for Platformer Games Using Genetic Algorithm

Ali Sofyan Kholimi (Universitas Muhammadiyah Malang)
Ahmad Hamdani (Universitas Muhammadiyah Malang)
Lailatul Husniah (Universitas Muhammadiyah Malang)



Article Info

Publish Date
18 Sep 2019

Abstract

Most of the games rely on the game designer to design the level and environment. Increasing of game environment space scale followed by increasing of time and cost. Procedural Content Generation (PCG) is a method to solve this problem by generating a game environment space. In this paper, a PCG method proposed using a genetic algorithm approach to solve the problem in generating game environment. Transition graph adapted in the proposed method to make PCG generate difficulty level. The Index-based approach used to display the biome sequence. This approach displays the biome according to its index in the sequence.

Copyrights © 2018






Journal Info

Abbrev

EECSI

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Proceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, ...