Optimization of train routes based on neuro-fuzzy modeling and genetic algorithms-Reference-Cited by-同舟云学术

Optimization of train routes based on neuro-fuzzy modeling and genetic algorithms

Published:2019 Issue: Volume:149 Page:11-18
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Dolgopolov Peter,Konstantinov Denis,Rybalchenko Liliya,Muhitovs Ruslans

Publisher

Elsevier BV

Subject

General Engineering

Reference5 articles.

1. Improving the process of promoting international transit trains by railways of Ukraine;Konstantinov;Journal of Ukrainian State University of Railway Transport,2013

2. Competition on the tracks – Passengers’ response to deregulation of interregional rail services;Froidh;Transportation Research Part A: Policy and Practice,2013

3. The impact of market opening on the supply of interregional train services;Froidh;Journal of Transport Geography,2015

4. Modeling strategies for effectively routing freight trains through complex networks;Murali;Transportation Research Part C: Emerging Technologies,2016

5. Optimization of rail network bandwidth management in conditions of high- speed passenger transportation;Dolgopolov;Journal of Ukrainian State University of Railway Transport,2017

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3. Neuro-Fuzzy Methods of Forecasting Quantitative Indicators of Logistic Activity;Lecture Notes in Networks and Systems;2024

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