The DOI matches its Crossref record; 115 of the 115 references it cites were found in a registry or an index.
A Multi-Facet Survey on Memetic Computation
Abstract
Memetic computation is a paradigm that uses the notion of meme(s) as units of information encoded in computational representations for the purpose of problem-solving. It covers a plethora of potentially rich meme-inspired computing methodologies, frameworks and operational algorithms including simple hybrids, adaptive hybrids and memetic automaton. In this paper, a comprehensive multi-facet survey of recent research in memetic computation is presented.
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Cites
A fast and elitist multiobjective genetic algorithm: NSGA-II
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.996017 · Cited by 50,053
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An Introduction to Genetic Algorithms
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(2007) · Handbook of Approximation Algorithms and Metaheuristics · doi:10.1201/9781420010749-33 · Cited by 6,607
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A survey of robot learning from demonstration
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Evolution strategies – A comprehensive introduction
Beyer, H.-G., & Schwefel, H.-P. (2002) · Natural Computing · doi:10.1023/a:1015059928466 · Cited by 2,790
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
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Cited by
Extreme Learning Machines [Trends & Controversies]
Cambria, E., Huang, G.-B., Kasun, L. L. C., Zhou, H., Vong, C. M., Lin, J., Yin, J., Cai, Z., Liu, Q., Li, K., et al. (2013) · IEEE Intelligent Systems · doi:10.1109/mis.2013.140 · Cited by 710
Self-citationMultiobjective Multifactorial Optimization in Evolutionary Multitasking
Gupta, A., Ong, Y.-S., Feng, L., & Tan, K. C. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2016.2554622 · Cited by 462
Self-citationEnsemble of differential evolution variants
Wu, G., Shen, X., Li, H., Chen, H., Lin, A., & Suganthan, P. N. (2018) · Information Sciences · doi:10.1016/j.ins.2017.09.053 · Cited by 386
Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications
Li, X., Epitropakis, M. G., Deb, K., & Engelbrecht, A. (2017) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2016.2638437 · Cited by 339
Chemical Reaction Optimization: a tutorial: (Invited paper)
Lam, A. Y. S., & Li, V. O. K. (2012) · Memetic Computing · doi:10.1007/s12293-012-0075-1 · Cited by 285
Metadata
- Authors
- Chen, X., Ong, Y.-S., Lim, M.-H., & Tan, K. C.
- Venue
- IEEE Transactions on Evolutionary Computation
- Published
- 2011-10
- Volume
- 15
- Issue
- 5
- Pages
- 591-607
- ISSN
- 1089-778X (ISSN-L)
- 1941-0026
- OpenAlex
- W2104274529
- Cited by
- 512
- References
- 115
- FWCI
- 37.55
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chen, X., Ong, Y.-S., Lim, M.-H., & Tan, K. C. (2011). A Multi-Facet Survey on Memetic Computation. IEEE Transactions on Evolutionary Computation. https://doi.org/10.1109/tevc.2011.2132725
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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.
