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...
Main Authors: | Yamur K. Al-Douri, Hussan Hamodi, Jan Lundberg |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-08-01
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Series: | Algorithms |
Subjects: | |
Online Access: | http://www.mdpi.com/1999-4893/11/8/123 |
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