Generation of Space Shooter Level Using Genetic Approach

In this article, we used genetic algorithm and geometric-based approach to generating level for 2D space shooter game. We used the defined fitness value from game designer to limit the fitness value of the genetic algorithm process. And the geometric-based is used to generate base level from the bes...

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Main Authors: Ahmad Hamdani, Wahyu Andhyka Kusuma
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2019-01-01
Series:Jurnal Informatika
Subjects:
Online Access:http://journal.uad.ac.id/index.php/JIFO/article/view/9746
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author Ahmad Hamdani
Wahyu Andhyka Kusuma
author_facet Ahmad Hamdani
Wahyu Andhyka Kusuma
author_sort Ahmad Hamdani
collection DOAJ
description In this article, we used genetic algorithm and geometric-based approach to generating level for 2D space shooter game. We used the defined fitness value from game designer to limit the fitness value of the genetic algorithm process. And the geometric-based is used to generate base level from the best chromosome in genetic algorithm. The geometric generator will take a random object for each corresponding game element from the chromosome. This approach minize the time to generating the object, we directly used object geometry for the data in chromosome so it can minimize process and memory cost. This approached minimizing the content that must be created manually. From the result, to generation level with controlled difficulty, we must change the chromosome length too, so the fitness value can fit the target fitness and not show any linear difficulty. Our result showed this method capable of generating different level and controlled difficulty.
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spelling doaj.art-934fe3d57483464dbc56f18ce2bee1a72022-12-21T18:46:55ZengUniversitas Ahmad DahlanJurnal Informatika1978-05242019-01-011311610.26555/jifo.v13i1.a97466234Generation of Space Shooter Level Using Genetic ApproachAhmad Hamdani0Wahyu Andhyka Kusuma1Universitas Muhammadiyah MalangUniversitas Muhammadiyah MalangIn this article, we used genetic algorithm and geometric-based approach to generating level for 2D space shooter game. We used the defined fitness value from game designer to limit the fitness value of the genetic algorithm process. And the geometric-based is used to generate base level from the best chromosome in genetic algorithm. The geometric generator will take a random object for each corresponding game element from the chromosome. This approach minize the time to generating the object, we directly used object geometry for the data in chromosome so it can minimize process and memory cost. This approached minimizing the content that must be created manually. From the result, to generation level with controlled difficulty, we must change the chromosome length too, so the fitness value can fit the target fitness and not show any linear difficulty. Our result showed this method capable of generating different level and controlled difficulty.http://journal.uad.ac.id/index.php/JIFO/article/view/9746artificial intelligencegamespcggenetic algorithmevolutionary algorithm
spellingShingle Ahmad Hamdani
Wahyu Andhyka Kusuma
Generation of Space Shooter Level Using Genetic Approach
Jurnal Informatika
artificial intelligence
games
pcg
genetic algorithm
evolutionary algorithm
title Generation of Space Shooter Level Using Genetic Approach
title_full Generation of Space Shooter Level Using Genetic Approach
title_fullStr Generation of Space Shooter Level Using Genetic Approach
title_full_unstemmed Generation of Space Shooter Level Using Genetic Approach
title_short Generation of Space Shooter Level Using Genetic Approach
title_sort generation of space shooter level using genetic approach
topic artificial intelligence
games
pcg
genetic algorithm
evolutionary algorithm
url http://journal.uad.ac.id/index.php/JIFO/article/view/9746
work_keys_str_mv AT ahmadhamdani generationofspaceshooterlevelusinggeneticapproach
AT wahyuandhykakusuma generationofspaceshooterlevelusinggeneticapproach