Scipediacontent: Scipediacontent moved page Draft Content 128241038 to Penna et al 2016a

2021-01-28T19:31:34Z

Scipediacontent moved page Draft Content 128241038 to Penna et al 2016a

Scipediacontent: Created page with " == Abstract == As the cities around the world become larger, quality of life of the citizens is more and more threatened due to the traffic congestion, energy consumption..."

2021-01-28T19:31:28Z

Created page with " == Abstract == As the cities around the world become larger, quality of life of the citizens is more and more threatened due to the traffic congestion, energy consumption..."

New page

== Abstract ==

As the cities around the world become larger, quality of life of the citizens is more and more threatened due to the traffic congestion, energy consumption, noise disturbance and carbon emissions because of of increasing transport. Electrical vehicles present an opportunity to reduce greenhouse gas emissions. But limited driving range and long recharging times are among the challenges that the research community has to face. This paper proposes an iterative local search algorithm coupled with a set partitioning model to solve The Electric Fleet Size and Mix Vehicle Routing Problem with Time Windows and Recharging Stations. Several types of electrical vehicles with varying driving range, capacity and fixed cost should service a set of customers within their time limits and during their tours each vehicle can be recharged in stations. We show the efficiency and the quality of our method by solving benchmark instances of the Heterogeneous Fleet Electric Vehicle Problems with Time Windows.

== Original document ==

The different versions of the original document can be found in:

* [https://doi.org/10.1016/j.ifacol.2016.07.899 https://doi.org/10.1016/j.ifacol.2016.07.899]

* [https://hal-utt.archives-ouvertes.fr/hal-02485692 https://hal-utt.archives-ouvertes.fr/hal-02485692]

* [https://api.elsevier.com/content/article/PII:S2405896316311855?httpAccept=text/plain https://api.elsevier.com/content/article/PII:S2405896316311855?httpAccept=text/plain],
: [https://api.elsevier.com/content/article/PII:S2405896316311855?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S2405896316311855?httpAccept=text/xml],
: [http://dx.doi.org/10.1016/j.ifacol.2016.07.899 http://dx.doi.org/10.1016/j.ifacol.2016.07.899] under the license https://www.elsevier.com/tdm/userlicense/1.0/

* [https://www.sciencedirect.com/science/article/pii/S2405896316311855 https://www.sciencedirect.com/science/article/pii/S2405896316311855],
: [https://academic.microsoft.com/#/detail/2516609535 https://academic.microsoft.com/#/detail/2516609535]

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Penna et al 2016a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 128241038 to Penna et al 2016a

Scipediacontent: Created page with " == Abstract == As the cities around the world become larger, quality of life of the citizens is more and more threatened due to the traffic congestion, energy consumption..."