Implementation of Genetic Algorithms in The Application of Car Racing Games

Ade Pujianto

Abstract


The car racing game is a game that has always been popular from the past until now. where this game has lots of interesting gameplay, especially when adding artificial intelligence (AI) which makes the gameplay of the game even more challenging because the game is more dynamic with various levels of difficulty. However, most research on the application of artificial intelligence (AI) to the gameplay of car racing games is only limited to the application of game opponents. using genetic algorithms for innovations in game gameplay. Optimization of the game configuration will also be carried out to determine the level or difficulty level of the game's gameplay. The research flow to be implemented is the indie development method where the development method is used by indie game makers. The output of this research is to make scientific publications in accredited national journals and patent rights for car racing game game products. The contribution to this research is to make gameplay that is different from previous research, namely in making gameplay or applying artificial intelligence (AI) to making arena or racing circuits and optimizing genetic algorithms by adding configuration settings to the genetic algorithm

Keywords


AI; cars; racing; genetics; gameplay

Full Text:

PDF

References


Beck, K., Bergen, M., DeMarco, R., Patel, R., Ocasio, M. & Servatius, R. 2003. The use of a videogame for assessing sensory-motor and cognitive interference effects in humans. Proceedings of IEEE 29th Annual Bioengineering Conference, 264-65.

Brian dan Hastigs, 2005. Addiction To The Internet And Game Online Gaming. Journal Of Cyber Psycology And Behavior Volume 8, Number 2. Depaul University, Chitagong.

Lemmens, J.S., V. P. 2009. Development and Validation of A Game Addiction Scale for Adolescents. Media Psychology, 77–95.

Adams, E. (2014). Fundamentals of Action and Arcade Game Design. San Francisco: New Riders.

Anita Q, Veri.A. 2013. Perancangan Dan Pembuatan Word Game Scramble Dengan Algoritma Genetika. Jurnal Manajemen Informatika. Volume 02 Nomor 02 Tahun 2013, 29-36.

Johan P., Kristo R.P. dan Liliana. 2013. Perancangan dan Pembuatan Aplikasi Game Strategi Menggunakan Metode Algoritma Genetika untuk Pembuatan Pasukan. Jurnal Infra Vol 4, No 1 (2016) pp.199 - pp.204.

Wage R.S, Esmeralda C.D dan Rezki Y. 2013. Optimalisasi Aksi NonPlayer Character Pada Game Kartu Remi Menggunakan Algoritma Genetika. Prosiding SNST ke-7 Tahun 2016, Fakultas Teknik Universitas Wahid Hasyim Semarang.




DOI: http://dx.doi.org/10.24014/ijaidm.v4i1.10835

Refbacks

  • There are currently no refbacks.


Office and Secretariat:

Big Data Research Centre
Puzzle Research Data Technology (Predatech)
Laboratory Building 1st Floor of Faculty of Science and Technology
UIN Sultan Syarif Kasim Riau

Jl. HR. Soebrantas KM. 18.5 No. 155 Pekanbaru Riau – 28293
Website: http://predatech.uin-suska.ac.id/ijaidm
Email: ijaidm@uin-suska.ac.id
e-Journal: http://ejournal.uin-suska.ac.id/index.php/ijaidm
Phone./ Hp.: +62 852-7535-9942


Journal Indexing:

Google Scholar | ROAD | PKP Index | BASE | ESJI | Journal Factor | General Impact Factor | Garuda | Moraref | One Search | Cite Factor | Crossref | WorldCat | Neliti  | SINTA

IJAIDM Stats