The DOI matches its Crossref record.
Ants can colour graphs
Abstract
In the last few years researchers have shown how insect colonies can be seen as a natural model of collective problem solving. The analogy between the behaviour of ants looking for food and the well known travelling salesman problem has recently given rise to promising solution methods. We present in this paper an evolutionary search procedure for tackling assignment type problems. The algorithm repeatedly constructs feasible solutions of the problem under study by taking account of two complementary notions, namely the trace factor and the desirability factor. The use of such search principles will be illustrated for graph colouring problems. The results obtained have proven satisfactory when compared with those existing in the literature.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
AntNet: Distributed Stigmergetic Control for Communications Networks
Di Caro, G., & Dorigo, M. (1998) · Journal of Artificial Intelligence Research · doi:10.1613/jair.530 · Cited by 1,579
Inspiration for optimization from social insect behaviour
Bonabeau, E., Dorigo, M., & Theraulaz, G. (2000) · Nature · doi:10.1038/35017500 · Cited by 912
Ant Colony Optimization: Overview and Recent Advances
Dorigo, M., & Stützle, T. (2019) · International Series in Operations Research & Management Science · doi:10.1007/978-3-319-91086-4_10 · Cited by 722
Ant Colony Optimization: Overview and Recent Advances
Dorigo, M., & Stützle, T. (2010) · International Series in Operations Research & Management Science · doi:10.1007/978-1-4419-1665-5_8 · Cited by 579
Metadata
- Authors
- Costa, D., & Hertz, A.
- Venue
- Journal of the Operational Research Society
- Publisher
- Informa UK Limited
- Published
- 1997-03
- Volume
- 48
- Issue
- 3
- Pages
- 295-305
- ISSN
- 0160-5682 (ISSN-L)
- 1476-9360
- OpenAlex
- W2025704344
- Cited by
- 497
- References
- 0
- FWCI
- 12.36
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Ants can colour graphs. https://app.cochat.ai/papers/10.1057/palgrave.jors.2600357
- The paper
- Costa, D., & Hertz, A. (1997). Ants can colour graphs. Journal of the Operational Research Society. https://doi.org/10.1057/palgrave.jors.2600357
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
