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Evolving controllers for simulated car racing using differential evolution

This paper presents an initial approach for creating autonomous controllers for the car racing game using a hybrid technique. The Differential Evolution (DE) algorithm is combined with Feed-forward Artificial Neural Networks (FFANNs) to generate the required intelligent controllers in a well-known c...

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書誌詳細
主要な著者:	Shi, Jun Long, Chin, Kim On, Teo, Jason Tze Wi, Tan, Tse Guan, Rayner Alfred, Patricia Anthony
フォーマット:	論文
言語:	English
出版事項:	Penerbit UKM 2013
オンライン･アクセス:	https://eprints.ums.edu.my/id/eprint/19638/1/Evolving%20controllers%20for%20simulated%20car%20racing%20using%20differential%20evolution.pdf https://eprints.ums.edu.my/id/eprint/19638/ http://ejournal.ukm.my/apjitm/article/view/4291
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