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Journal : Proceeding of the Electrical Engineering Computer Science and Informatics

Automatic Game World Generation for Platformer Games Using Genetic Algorithm Ali Sofyan Kholimi; Ahmad Hamdani; Lailatul Husniah
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (318.506 KB) | DOI: 10.11591/eecsi.v5.1608

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.
Comparison Between A* And Obstacle Tracing Pathfinding In Gridless Isometric Game Lailatul Husniah; Rizky Ade Mahendra; Ali Sofyan Kholimi; Eko Budi Cahyono
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (857.14 KB) | DOI: 10.11591/eecsi.v5.1631

Abstract

The pathfinding algorithms have commonly used in video games. City 2.5 is an isometric grid-less game which already implements pathfinding algorithms. However, current pathfinding algorithm unable to produce optimal route when it comes to custom shape or concave collider. This research uses A* and a method to choose the start and end node to produce an optimal route. The virtual grid node is generated to make A* works on the grid-less environment. The test results show that A* be able to produce the shortest route in concave or custom obstacles scenarios, but not on the obstacle-less scenarios and tight gap obstacles scenarios.