Funder
Fundo de apoio à Pesquisa
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development
Reference29 articles.
1. Optimal design of energy-efficient ATO CBTC driving for metro lines based on NSGA-II with fuzzy parameters;Carvajal-Carreño;Engineering Applications of Artificial Intelligence,2014
2. Zotero;CHNM,2016
3. Probability and Statistics for Engineering and the Sciences;Devore,2011
4. Multi objective particle swarm optimization algorithm for the design of efficient ATO speed profiles in metro lines;Domínguez;Engineering Applications of Artificial Intelligence,2014
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献