Time Series Forecasting Using a Two-Level Multi-Objective Genetic Algorithm: A Case Study of Maintenance Cost Data for Tunnel Fans

Time Series Forecasting Using a Two-Level Multi-Objective Genetic Algorithm: A Case Study of Maintenance Cost Data for Tunnel Fans

The aim of this study has been to develop a novel two-level multi-objective genetic algorithm (GA) to optimize time series forecasting data for fans used in road tunnels by the Swedish Transport Administration (Trafikverket). Level 1 is for the process of forecasting time series cost data, while lev...

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Bibliographic Details
Main Authors: Yamur K. Al-Douri, Hussan Hamodi, Jan Lundberg
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Algorithms
Subjects:
ARIMA model
data forecasting
multi-objective genetic algorithm
regression model
Online Access:http://www.mdpi.com/1999-4893/11/8/123

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http://www.mdpi.com/1999-4893/11/8/123

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