The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
No Free Lunch Theorem: A Review
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Citations
Cites
Lecture Notes in Computer Science 1205
(1999) · Industrial Robot: An International Journal · doi:10.1108/ir.1999.04926fae.001 · Cited by 38,662
A new optimizer using particle swarm theory
Eberhart, R., & Kennedy, J. (2002) · MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science · doi:10.1109/mhs.1995.494215 · Cited by 16,067
Bellman, R. E. (2010) · doi:10.1515/9781400835386 · Cited by 14,588
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
A treatise of human nature (1739-40)
Hume, D. (1996) · The Sublime · doi:10.1017/cbo9780511620409.040 · Cited by 9,842
Karaboga, D., & Basturk, B. (2007) · Journal of Global Optimization · doi:10.1007/s10898-007-9149-x · Cited by 7,651
Cuckoo Search via Lévy flights
Yang, X.-S., & Deb, S. (2009) · 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC) · doi:10.1109/nabic.2009.5393690 · Cited by 6,185
A New Metaheuristic Bat-Inspired Algorithm
Yang, X.-S. (2010) · Studies in Computational Intelligence · doi:10.1007/978-3-642-12538-6_6 · Cited by 4,905
Bandit Based Monte-Carlo Planning
Kocsis, L., & Szepesvári, C. (2006) · Lecture Notes in Computer Science · doi:10.1007/11871842_29 · Cited by 2,855
Firefly algorithm, stochastic test functions and design optimisation
Yang, X. S. (2010) · International Journal of Bio-Inspired Computation · doi:10.1504/ijbic.2010.032124 · Cited by 2,729
Cited by
Evaluation of a decided sample size in machine learning applications
Rajput, D., Wang, W.-J., & Chen, C.-C. (2023) · BMC Bioinformatics · doi:10.1186/s12859-023-05156-9 · Cited by 411
Benchmarking in Optimization: Best Practice and Open Issues
Bartz-Beielstein, T., Doerr, C., Berg, D. V. D., Bossek, J., Chandrasekaran, S., Eftimov, T., Fischbach, A., Kerschke, P., La Cava, W., Lopez-Ibanez, M., et al. (2020) · arXiv · doi:10.48550/arxiv.2007.03488 · Cited by 214
User Behavior Simulation with Large Language Model-based Agents
Wang, L., Zhang, J., Yang, H., Chen, Z.-Y., Tang, J., Zhang, Z., Chen, X., Lin, Y., Sun, H., Song, R., et al. (2025) · ACM Transactions on Information Systems · doi:10.1145/3708985 · Cited by 59
Metadata
- Authors
- Adam, S. P., Alexandropoulos, S.-A. N., Pardalos, P. M., & Vrahatis, M. N.
- Venue
- Springer Optimization and Its Applications
- Publisher
- Springer International Publishing
- Published
- 2019
- Pages
- 57-82
- ISSN
- 1931-6828 (ISSN-L)
- 1931-6836
- OpenAlex
- W2943857514
- Cited by
- 401
- References
- 49
- FWCI
- 41.53
- Type
- book chapter
- Language
- en
- Open access
- closed
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- The paper
- Adam, S. P., Alexandropoulos, S.-A. N., Pardalos, P. M., & Vrahatis, M. N. (2019). No Free Lunch Theorem: A Review. Springer Optimization and Its Applications. https://doi.org/10.1007/978-3-030-12767-1_5
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.