Fuzzy logic based multi-objective optimization of a multi-agent transit control system-Reference-Cited by-同舟云学术

Fuzzy logic based multi-objective optimization of a multi-agent transit control system

Published:2022-12-01 Issue:1 Volume:15 Page:71-87
ISSN:1865-9284
Container-title:Memetic Computing
language:en
Short-container-title:Memetic Comp.

Author:

Morri Nabil,Hadouaj Sameh,Said Lamjed Ben

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12293-022-00384-7.pdf

Reference38 articles.

1. Commission E (2011) Roadmap to a single european transport area: Towards a competitive and resource efficient transport system: White paper. Publications Office of the European Union

2. Yan X, Crookes RJ (2009) Reduction potentials of energy demand and ghg emissions in china’s road transport sector. Energy Policy 37(2):658–668

3. Ceder A (2016) Public transit planning and operation: modeling, practice and behavior. CRC Press, Florida

4. Morri N, El Hadouaj S, Said LB (2020) Intelligent regulation system to optimize the service performance of the public transport. In: ICEIS, vol 1. pp 416–427

5. Morri N, Hadouaj S, Said LB (2015) Multi-agent optimization model for multi-criteria regulation of multi-modal public transport. In: 2015 World congress on information technology and computer applications (WCITCA). IEEE, pp 1–6

Cited by 2 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

1. A many-objective evolutionary algorithm under diversity-first selection based framework;Expert Systems with Applications;2024-09

2. Innovative supply chain network design with two-step authentication and environmentally-friendly blockchain technology;Annals of Operations Research;2024-04-25