Ant Colony Optimization based on multi-searching to estimate the natural gas demand: Case of Turkey
Küçük Resim Yok
Tarih
2012
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
MULTI-SCIENCE PUBL CO LTD
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper we propose a new version of the Ant Colony Optimization (ACO) to predict the natural gas demand problem. This heuristic approach will estimate the Turkey's natural gas demand based on economic indicators. The well-known ACO is multi-agent systems in which the behavior of each ant is inspired by the foraging behavior of real ants to solve optimization problem. In this paper the proposed approach presents that the many ant colonies begin the searching from different random points. Ant Colony Optimization Natural Gas Demand Estimation (ACONGDE) model is developed using population, gross domestic product (GDP), import and export. All equations proposed here are linear and quadratic. Quadratic_ACONGDE provided better fit solution due to the fluctuations of the economic indicators. The ACONGDE model plans the natural gas demand of Turkey until 2025 for three scenarios. We also present an estimation of the natural gas demand for Central Anatolia Region of Turkey using population rates.
Açıklama
Anahtar Kelimeler
Natural gas demand, Ant Colony Optimization, Economic indicators, Central Anatolia Region, Turkey
Kaynak
ENERGY EXPLORATION & EXPLOITATION
WoS Q Değeri
N/A
Scopus Q Değeri
Q2
Cilt
30
Sayı
2
