The DOI matches its Crossref record.
A novel numerical optimization algorithm inspired from weed colonization
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
Cites
No references could be resolved yet.
Research works printed but not linked: 9
- Cerny, 1985, A thermodynamical approach to the travelling salesman problem: an efficient simulation algorithm, Journal of Optimization Theory and Applications, 45, 41, 10.1007/BF00940812 · DOI · Paper page
- Chatterjee, A., Siarry, P., 2006. Nonlinear inertia variation for dynamic adaptation in particle swarm optimization, Computers and Operations Research, vol. 33, pp. 859–871. · DOI · Paper page
- Dorigo, 1996, The ant system: optimization by a colony of cooperating agents, IEEE Transactions on Systems, Man and Cybernetics. Part B. Cybernetics, 26, 1, 10.1109/3477.484436 · DOI · Paper page
- Elbeltagi, 2005, Comparison among five evolutionary-based optimization algorithms, Advanced Engineering Informatics, 19, 43, 10.1016/j.aei.2005.01.004 · DOI · Paper page
- Eusuff, 2003, Optimization of water distribution network design using the shuffled frog leaping algorithm, Journal of Water Resources planning and management, 129, 210, 10.1061/(ASCE)0733-9496(2003)129:3(210) · doi:10.1061/(asce)0733-9496(2003)129:3(210 · Paper page
- Hedar, 2002, Hybrid simulated annealing and direct search method for nonlinear unconstrained global optimization, Optimization Methods and Software, 17, 891, 10.1080/1055678021000030084 · doi:10.1080/1055678021000030084
- Kirkpatrick, 1983, Optimization by simulated annealing, Science, 220, 671, 10.1126/science.220.4598.671 · DOI · Paper page
- Kirley, 2002, A cellular genetic algorithm with disturbances: optimisation using dynamic spatial interactions, Journal of Heuristics, 8, 321, 10.1023/A:1015009818589 · DOI
- Moscato, 1989, On evolution, search, optimization, genetic algorithms and martial arts: towards memetic algorithms, vol. 826
Cited by
Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications
Zhao, W., Zhang, Z., & Wang, L. (2020) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2019.103300 · Cited by 1,080
Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications
Zhao, W., Wang, L., & Mirjalili, S. (2022) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2021.114194 · Cited by 987
Golden jackal optimization: A novel nature-inspired optimizer for engineering applications
Chopra, N., & Mohsin Ansari, M. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.116924 · Cited by 892
Atom search optimization and its application to solve a hydrogeologic parameter estimation problem
Zhao, W., Wang, L., & Zhang, Z. (2019) · Knowledge-Based Systems · doi:10.1016/j.knosys.2018.08.030 · Cited by 699
Rajwar, K., Deep, K., & Das, S. (2023) · Artificial Intelligence Review · doi:10.1007/s10462-023-10470-y · Cited by 687
Metadata
- Authors
- Mehrabian, A. R., & Lucas, C.
- Venue
- Ecological Informatics
- Publisher
- Elsevier BV
- Published
- 2006-12
- Volume
- 1
- Issue
- 4
- Pages
- 355-366
- ISSN
- 1574-9541 (ISSN-L)
- OpenAlex
- W2025148441
- Cited by
- 1,396
- References
- 0
- FWCI
- 11.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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: A novel numerical optimization algorithm inspired from weed colonization. https://app.cochat.ai/papers/10.1016/j.ecoinf.2006.07.003
- The paper
- Mehrabian, A. R., & Lucas, C. (2006). A novel numerical optimization algorithm inspired from weed colonization. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2006.07.003
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.
