A robust approach for a green periodic competitive VRP under uncertainty: DE and PSO algorithms-Reference-Cited by-同舟云学术

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A robust approach for a green periodic competitive VRP under uncertainty: DE and PSO algorithms

Published:2019-06-11 Issue:6 Volume:36 Page:5213-5225
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Fallah M.¹,Tavakkoli-Moghaddam R.²³⁴,Alinaghian M.⁵,Salamatbakhsh-Varjovi A.⁶

Affiliation:

1. Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran

2. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

3. Arts et Métiers ParisTech, LCFC, Metz, France

4. Universal Scientific Education and Research Network (USERN), Tehran, Iran

5. Department of Industrial and Systems Engineering, Isfahan University of Technology, Isfahan, Iran

6. Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference39 articles.

1. “Combinatorial optimization and green logistics,”;Sbihi;Annals of Operations Research,2009

2. “Modified particle swarm optimization in a time-dependent vehicle routing problem: minimizing fuel consumption,”;Norouzi;Optimization Letters,2017

3. “The vehicle routing problem with stochastic demand and duration constraints,”;Erera;Journal of Transportation Science,2010

4. “Vehicle routing problem based on a fuzzy customer clustering approach for logistics network optimization,”;Wang;Journal of Intelligent & Fuzzy Systems,2015

5. “Evaluating of the particle swarm optimization in a periodic vehicle routing problem,”;Norouzi;Measurement,2015

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