Genetic Algorithm (GA) Approaches for the Transport Energy Demand Estimation: Model Development and Application

This study deals with estimating future transport energy demand using genetic algorithm (GA) approach. Genetic algorithm transport energy demand (GATENDM) model is developed based on socio-economic indicators (population, gross domestic product (GDP), import and export) and transportation indicators...

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Bibliographic details
Volume: 28
Main Author: Canyurt, Olcay Ersel
Ozturk, Harun Kemal
Hepbasli, Arif
Utlu, Zafer
Format: Journal Article
Language: English
Place of publication: PHILADELPHIA Taylor & Francis Group 01.11.2006
TAYLOR & FRANCIS INC
published in: Energy sources. Part A, Recovery, utilization, and environmental effects Vol. 28; no. 15; pp. 1405 - 1413
Data of publication: 11/1/2006
ISSN: 1556-7036
1556-7230
EISSN: 1556-7230
Discipline: Engineering
Environmental Sciences
Subjects:
GA
Online Access: available in Bonn?
Database: Web of Knowledge
Science Citation Index Expanded
Web of Science
Web of Science - Science Citation Index Expanded - 2006
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