Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game
Digital gaming industry grows very fast and it becomes one of the most profitable industries since last decade. A good game is very profitable. Hence, the developers are trying hard to include Artificial Intelligence (AI) technologies for generate better game to attract more players, especially for...
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Main Author: | Chang, Kee Tong |
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Format: | Thesis |
Language: | English English |
Published: |
2015
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Online Access: | https://eprints.ums.edu.my/id/eprint/26670/1/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/26670/2/FULLTEXT.pdf |
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