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Makale detayı · 2011 · article

Optimization of a mini golf game using the genetic algorithm

Dergi Electronics and Electrical Engineering ISSN kaydı başka bir dergiye işaret ediyor; ad YÖKSİS kaydından.
ISSN1392-1215
YÖKSİS OpenAlex Açık erişim · gold
Yıl2011
Atıf4OpenAlex
Yüzdelik%17,6
FWCI0,01,00 = dünya ortalaması
Scopus (SJR)Q3
WoS (JCR)Q3

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıElectronics and Electrical Engineering
  • Katalog eşleşmesi (ISSN)Elektronika ir Elektrotechnika
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)

Özet

OpenAlex İngilizce

While playing golf, it is important that the ball must be conveyed to the defined target point by making the minimum number of shots. The chosen algorithm and the applying techniques for conveying the ball to the targeted point are significant in optimizing this game. A research has been carried out on the basic concepts of the genetic algorithm in this study, and has been concentrated on how this algorithm can be applied on a physics problem. Properties those have learnt as a result of the carried out research have been applied to the problem by making various arrangements as required by the nature of the problem for conveying the ball to the target point in optimizing of a mini-golf game. Effects of the presented genetic algorithm elements over the calculation time of the solution of the problem have been evaluated by various tests during the application process. It has been observed that the genetic algorithm is effective in determining the required velocity and direction components for conveyance of the ball to the target point. Ill. 1, bibl. 5, tabl. 1 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.109.3.180

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

4atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 3 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2020 An enhanced diabetic retinopathy detection and classification approach using deep convolutional neural networkAtıf 288 · OpenAlex
  2. 2021 Comparison of machine learning methods and finite element analysis on the fracture behavior of polymer compositesAtıf 40 · OpenAlex
  3. 2020 Comparison of machine learning methods and finite element analysis on the fracture behavior of polymer compositesAtıf 40 · OpenAlex

Yazarlar

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