The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
The runner-root algorithm: A metaheuristic for solving unimodal and multimodal optimization problems inspired by runners and roots of plants in nature
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In contrast, meta-heuristic optimization algorithms, owing to their broad applicability, are capable of addressing optimization demands in complex scenarios [26].”
From Research on Energy-Saving Optimization of Mushroom Growing Control Room Based on Neural Network Model Predictive Control (2025) · cites this paper as [26]
Citations
Cites
Kennedy, J., & Eberhart, R. (2002) · Proceedings of ICNN'95 - International Conference on Neural Networks · doi:10.1109/icnn.1995.488968 · Cited by 58,192
Holland, J. H. (1992) · The MIT Press eBooks · doi:10.7551/mitpress/1090.001.0001 · Cited by 47,002
Optimization by Simulated Annealing
Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983) · Science · doi:10.1126/science.220.4598.671 · Cited by 45,134
No free lunch theorems for optimization
Wolpert, D. H., & Macready, W. G. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585893 · Cited by 14,237
Karaboğa, D., & Akay, B. (2007) · Journal of Global Optimization · doi:10.1007/s10898-007-9149-x · Cited by 7,819
Gonzalez, T. F. (2007) · Chapman & Hall/CRC eBooks · doi:10.1201/9781420010749-33 · Cited by 6,655
Multivariable Feedback Control: Analysis and Design
Skogestad, S., & Postlethwaite, I. (1996) · Cited by 6,312
Derrac, J., García, S., Molina, D., & Herrera, F. (2011) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2011.02.002 · Cited by 5,562
Rao, R. V., Savsani, V. J., & Vakharia, D. P. (2011) · Computer-Aided Design · doi:10.1016/j.cad.2010.12.015 · Cited by 5,318
Dorigo, M., Birattari, M., & Stützle, T. (2006) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2006.329691 · Cited by 5,314
Cited by
Song, Y., Zheng, W., Guo, G., Wang, M., Luo, C., Chen, C., & Li, Z. (2025) · Energies · doi:10.3390/en18205550 · Cited by 3
Metadata
- Authors
- Merrikh-Bayat, F.
- Venue
- Applied Soft Computing
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 33
- Pages
- 292-303
- ISSN
- 1568-4946 (ISSN-L)
- OpenAlex
- W252392022
- Cited by
- 134
- References
- 49
- Citations by year
- 2026: 2 · 2025: 13 · 2024: 5 · 2023: 15 · 2022: 11 · 2021: 17 · 2020: 22 · 2019: 22 · 2018: 11 · 2017: 10 · 2016: 5 · 2015: 1
- FWCI
- 8.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Applied Soft Computing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
- Social Sciences › Decision Sciences › Management Science and Operations Research › Simulation Techniques and Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Immune Systems Applications
- Keywords
- metaheuristic optimization, multimodal optimization, unimodal optimization, local optima avoidance, exploration and exploitation, bio-inspired algorithms
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.
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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.
