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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“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]
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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
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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.