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Container traffic prediction in a seaport stockyard implementing artificial bee colony algorithm compared with the genetic algorithm

Yıl 2016, Cilt: 12 Sayı: 1, 0 - , 30.04.2016

Öz

Container traffic prediction in a seaport stockyard implementing artificial bee colony algorithm compared with the genetic algorithm

After finishing the construction stage of a container terminal, it is very difficult to modify the current port configuration and properties. For this instance, to avoid of the sunk costs, it is crucial for the seaport designers to predict the container traffic at any stage of the design phase. One of the important facilities of a seaport is the container stockyard in which the containers are held for handling operations. The preliminary design of this facility directly influenced by the container traffic and the probable container amount at the stock area. Hence, the required size of the stock area is determined and the further construction costs are directly related with this design parameter. This study proposed a forecasting model for obtaining the daily value of the containers in the stockyard.  The proposed model is a simple regressed model with the past records of container traffic in the storage area. The model results showed that, artificial bee colony algorithm successfully predicted the model coefficients even better than genetic algorithm. The results indicated that the model performance is sufficient for predicting the contain amount in a seaport considering the observed records.

Yıl 2016, Cilt: 12 Sayı: 1, 0 - , 30.04.2016

Öz

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Ayrıntılar

Birincil Dil İngilizce
Bölüm Makaleler
Yazarlar

Ümit Gökkuş

Kıvanç Akoğlu Bu kişi benim

Mehmet Yıldırım Bu kişi benim

Yayımlanma Tarihi 30 Nisan 2016
Yayımlandığı Sayı Yıl 2016 Cilt: 12 Sayı: 1

Kaynak Göster

APA Gökkuş, Ü., Akoğlu, K., & Yıldırım, M. (2016). Container traffic prediction in a seaport stockyard implementing artificial bee colony algorithm compared with the genetic algorithm. Celal Bayar University Journal of Science, 12(1). https://doi.org/10.18466/cbujos.89956
AMA Gökkuş Ü, Akoğlu K, Yıldırım M. Container traffic prediction in a seaport stockyard implementing artificial bee colony algorithm compared with the genetic algorithm. CBUJOS. Nisan 2016;12(1). doi:10.18466/cbujos.89956
Chicago Gökkuş, Ümit, Kıvanç Akoğlu, ve Mehmet Yıldırım. “Container Traffic Prediction in a Seaport Stockyard Implementing Artificial Bee Colony Algorithm Compared With the Genetic Algorithm”. Celal Bayar University Journal of Science 12, sy. 1 (Nisan 2016). https://doi.org/10.18466/cbujos.89956.
EndNote Gökkuş Ü, Akoğlu K, Yıldırım M (01 Nisan 2016) Container traffic prediction in a seaport stockyard implementing artificial bee colony algorithm compared with the genetic algorithm. Celal Bayar University Journal of Science 12 1
IEEE Ü. Gökkuş, K. Akoğlu, ve M. Yıldırım, “Container traffic prediction in a seaport stockyard implementing artificial bee colony algorithm compared with the genetic algorithm”, CBUJOS, c. 12, sy. 1, 2016, doi: 10.18466/cbujos.89956.
ISNAD Gökkuş, Ümit vd. “Container Traffic Prediction in a Seaport Stockyard Implementing Artificial Bee Colony Algorithm Compared With the Genetic Algorithm”. Celal Bayar University Journal of Science 12/1 (Nisan 2016). https://doi.org/10.18466/cbujos.89956.
JAMA Gökkuş Ü, Akoğlu K, Yıldırım M. Container traffic prediction in a seaport stockyard implementing artificial bee colony algorithm compared with the genetic algorithm. CBUJOS. 2016;12. doi:10.18466/cbujos.89956.
MLA Gökkuş, Ümit vd. “Container Traffic Prediction in a Seaport Stockyard Implementing Artificial Bee Colony Algorithm Compared With the Genetic Algorithm”. Celal Bayar University Journal of Science, c. 12, sy. 1, 2016, doi:10.18466/cbujos.89956.
Vancouver Gökkuş Ü, Akoğlu K, Yıldırım M. Container traffic prediction in a seaport stockyard implementing artificial bee colony algorithm compared with the genetic algorithm. CBUJOS. 2016;12(1).