Scholar4AI Updated 2026-11-05 06:02 UTC+09:00

CVRPLIB

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data category: Optimization benchmark instances · 0 papers in the last 7 days

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Standard problem instances for routing, scheduling and integer programming, and test functions for metaheuristics.

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Names searched for: CVRPLIB

Key findings#

  • From Nov 2023 to Oct 2026, 13 archived papers mentioned CVRPLIB in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jul 2025 (2).
  • No paper of the tracked journals mentioned CVRPLIB in the last 30 days (2026-10-07 to 2026-11-05).
  • From 2017 to 2026 (so far), CVRPLIB was mentioned in 14 papers in the tracked journals, most of them in operations research (9) and AI (5).
  • 6 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were HEC Montréal (2), Jilin University (2) and Nanyang Technological University (2).
  • The journals publishing most of them were Computers & Operations Research (2), Neural Networks (2) and Transportation Research Part E Logistics and Transportation Review (2).
  • The most-cited of them is “Learning for routing: A guided review of recent developments and future directions” (Transportation Research Part E Logistics and Transportation Review, 2025), with 19 citations.
  • Papers use CVRPLIB most often with TSPLIB (5) and Taillard instances (4); it has 2 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
16613

Papers per year#

2017: 0 papers2018: 0 papers2019: 0 papers2020: 0 papers2021: 0 papers2022: 1 paper2023: 0 papers2024: 1 paper2025: 6 papers2026 (so far): 6 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Operations Research0000010143
AI0000000023
All categories0000010166

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1HEC Montréal2
2Jilin University2
3Nanyang Technological University2
4Bangladesh University of Engineering and Technology1
5Cardiff University1
6Chalmers University of Technology1
7Duke Kunshan University1
8Eindhoven University of Technology1
9Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly1
10Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University1
Countries with the most papers, since 2023
#CountryPapers
1China4
2United Kingdom3
3Canada2
4Singapore2
5United Arab Emirates1
6Bangladesh1
7Germany1
8Spain1
9Italy1
10Japan1
Keywords with the most papers, since 2023
#KeywordPapers
1vehicle routing6
2capacitated vehicle routing problem4
3combinatorial optimization4
4reinforcement learning4
5metaheuristic optimization3
6traveling salesman problem3
7local search2
8mixed integer programming2
9pruning techniques2
10vehicle routing problem with time windows2

Most-cited papers#

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use CVRPLIB most often with TSPLIB (5) and Taillard instances (4); it has 2 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat. The whole network →

What papers use CVRPLIB together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
TSPLIBDataset5208.4
Taillard instancesDataset4127.7
Cite this page

Scholar4AI. (2026). CVRPLIB. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/cvrplib

@misc{scholar4ai-datasets-cvrplib,
  author = {{Scholar4AI}},
  title = {CVRPLIB},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/cvrplib}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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