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Energy Sources, Part B: Economics, Planning, and Policy Volume 7, 2012 - Issue 2
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Original Articles

Estimating Transport Energy Demand Using Ant Colony Optimization

O. Baskan Department of Civil Engineering, Pamukkale University, Denizli, Turkey
,
S. Haldenbilen Department of Civil Engineering, Pamukkale University, Denizli, Turkey
,
H. Ceylan Department of Civil Engineering, Pamukkale University, Denizli, Turkey
&
H. Ceylan Department of Civil Engineering, Pamukkale University, Denizli, Turkey
Pages 188-199 | Received 02 Feb 2009, Accepted 10 May 2009, Published online: 19 Nov 2011

Citations (7)

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Ersin Korkmaz & Ali Payıdar Akgüngör. (2018) Flower pollination algorithm approach for the transportation energy demand estimation in Turkey: model development and application. Energy Sources, Part B: Economics, Planning, and Policy 13:11-12, pages 429-447.
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Articles from other publishers (6)

Ersin Korkmaz. (2023) Energy demand estimation in Turkey according to modes of transportation: Bezier search differential evolution and black widow optimization algorithms-based model development and application. Neural Computing and Applications 35:9, pages 7125-7146.
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Mohammad Ali Sahraei & Merve Kayaci Çodur. (2022) Prediction of transportation energy demand by novel hybrid meta-heuristic ANN. Energy 249, pages 123735.
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Merve Kayacı ÇODUR. (2021) Transportation Energy Demand Modeling with Artificial Neural NetworksUlaştırma Enerji Talebinin Yapay Sinir Ağları ile Modellenmesi. Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi 11:4, pages 2706-2715.
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Mohammad Ali Sahraei, Hakan Duman, Muhammed Yasin Çodur & Ecevit Eyduran. (2021) Prediction of transportation energy demand: Multivariate Adaptive Regression Splines. Energy 224, pages 120090.
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Miao Zhang & Xinggao Liu. (2016) A real-time model based on optimized least squares support vector machine for industrial polypropylene melt index prediction. Journal of Chemometrics 30:6, pages 324-331.
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Yu-Jun Zheng, Sheng-Yong Chen, Yao Lin & Wan-Liang Wang. (2013) Bio-Inspired Optimization of Sustainable Energy Systems: A Review. Mathematical Problems in Engineering 2013, pages 1-12.
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