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A Systematic Exploration of Mutation Space in a Hybridized Interactive Evolutionary Programming for Mobile Game Programming

In this study, a systematic exploration of mutation space in interactive evolutionary programming was conducted to investigate the effects of the game synthesis process using different mutation rates. Evolutionary programming is the core Evolutionary Algorithm (EA) used in this study where it is hyb...

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Main Authors: Jia Hui Ong, Jason Teo
Format: Article
Language:English
Published: 2014
Subjects:
QA Mathematics
Online Access:https://eprints.ums.edu.my/id/eprint/21717/1/A%20Systematic%20Exploration%20of%20Mutation%20Space%20in%20a%20Hybridized%20Interactive%20Evolutionary%20Programming%20for%20Mobile%20Game%20Programming.pdf
https://eprints.ums.edu.my/id/eprint/21717/
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spelling my.ums.eprints.217172019-04-01T01:03:34Z https://eprints.ums.edu.my/id/eprint/21717/ A Systematic Exploration of Mutation Space in a Hybridized Interactive Evolutionary Programming for Mobile Game Programming Jia Hui Ong Jason Teo QA Mathematics In this study, a systematic exploration of mutation space in interactive evolutionary programming was conducted to investigate the effects of the game synthesis process using different mutation rates. Evolutionary programming is the core Evolutionary Algorithm (EA) used in this study where it is hybridized with Interactive Evolutionary Algorithm (IEA) to generate different rulesets that was played on a custom arcade-type mobile game. The experiment was initially conducted by utilizing different mutation rates of 10, 20, 30, 40, 50, 60, 70, 80, and 90 percent. From the optimization results obtained, the single best individual was selected from each mutation rate to further analyze its quality. It was discovered that higher mutation rates were able to yield faster and better solutions and lower mutation rates generally yielded results that were below average. 2014 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/21717/1/A%20Systematic%20Exploration%20of%20Mutation%20Space%20in%20a%20Hybridized%20Interactive%20Evolutionary%20Programming%20for%20Mobile%20Game%20Programming.pdf Jia Hui Ong and Jason Teo (2014) A Systematic Exploration of Mutation Space in a Hybridized Interactive Evolutionary Programming for Mobile Game Programming. American Journal of Engineering Research (AJER), 3 (9). pp. 73-86. ISSN 2320-0847
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Jia Hui Ong
Jason Teo
A Systematic Exploration of Mutation Space in a Hybridized Interactive Evolutionary Programming for Mobile Game Programming
description In this study, a systematic exploration of mutation space in interactive evolutionary programming was conducted to investigate the effects of the game synthesis process using different mutation rates. Evolutionary programming is the core Evolutionary Algorithm (EA) used in this study where it is hybridized with Interactive Evolutionary Algorithm (IEA) to generate different rulesets that was played on a custom arcade-type mobile game. The experiment was initially conducted by utilizing different mutation rates of 10, 20, 30, 40, 50, 60, 70, 80, and 90 percent. From the optimization results obtained, the single best individual was selected from each mutation rate to further analyze its quality. It was discovered that higher mutation rates were able to yield faster and better solutions and lower mutation rates generally yielded results that were below average.
format Article
author Jia Hui Ong
Jason Teo
author_facet Jia Hui Ong
Jason Teo
author_sort Jia Hui Ong
title A Systematic Exploration of Mutation Space in a Hybridized Interactive Evolutionary Programming for Mobile Game Programming
title_short A Systematic Exploration of Mutation Space in a Hybridized Interactive Evolutionary Programming for Mobile Game Programming
title_full A Systematic Exploration of Mutation Space in a Hybridized Interactive Evolutionary Programming for Mobile Game Programming
title_fullStr A Systematic Exploration of Mutation Space in a Hybridized Interactive Evolutionary Programming for Mobile Game Programming
title_full_unstemmed A Systematic Exploration of Mutation Space in a Hybridized Interactive Evolutionary Programming for Mobile Game Programming
title_sort systematic exploration of mutation space in a hybridized interactive evolutionary programming for mobile game programming
publishDate 2014
url https://eprints.ums.edu.my/id/eprint/21717/1/A%20Systematic%20Exploration%20of%20Mutation%20Space%20in%20a%20Hybridized%20Interactive%20Evolutionary%20Programming%20for%20Mobile%20Game%20Programming.pdf
https://eprints.ums.edu.my/id/eprint/21717/
_version_ 1760229878659022848
score 13.211869

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