Logistic sequencing for improving environmental performance using ant colony optimization-Reference-Cited by-同舟云学术

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Logistic sequencing for improving environmental performance using ant colony optimization

Published:2019-07 Issue: Volume:77 Page:182-190
ISSN:0195-9255
Container-title:Environmental Impact Assessment Review
language:en
Short-container-title:Environmental Impact Assessment Review

Author:

Ng C.Y.,Lam S.S.,Samuel Choi P.M.

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Ecology,Geography, Planning and Development

Reference45 articles.

1. A hybrid ant colony system for green capacitated vehicle routing problem in sustainable transport;Adiba;J. Theor. Appl. Inf. Technol.,2013

2. Algorithms applied in decision-making for sustainable transport;Barcellos de Paula;J. Clean. Prod.,2018

3. Design decision chains as a basis for design analysis;Barton;J. Eng. Des.,2000

4. Minimizing greenhouse gas emissions in intermodal freight transport: an application to rail service design;Bauer;J. Oper. Res. Soc.,2010

5. The environmental performance strategy map: an integrated LCA approach to support the strategic decision-making process;Benedetto;J. Clean. Prod.,2009

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. Ant Colony Optimization;Computational Intelligence Applied to Inverse Problems in Radiative Transfer;2023

2. Meta-heuristics for sustainable supply chain management: a review;International Journal of Production Research;2022-03-17

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