The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
System design by constraint adaptation and differential evolution
Abstract
A simple optimization procedure for constraint-based problems is described which works with a simplified cost function or even without one. The simplification of the problem formulation makes this method particularly attractive. The new method lends itself to parallel computation and is well suited for constraint satisfaction, constrained optimization, and design centering problems. A further asset is its self-steering property which makes the new method easy to use.
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Citations
Cites
Storn, R., & Price, K. (1997) · Journal of Global Optimization · doi:10.1023/a:1008202821328 · Cited by 29,569
Self-citationEvolutionary computation: Comments on the history and current state
Back, T., Hammel, U., & Schwefel, H.-P. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585888 · Cited by 1,536 · cited 2×
“Hence CADE is similar to a ( )-evolution strategy (ES) [ 13 ] where . We will see later, however, that there are several differences to a standard ES approach.”
BackgroundMethod
Cited by
Differential Evolution: A Survey of the State-of-the-Art
Das, S., & Suganthan, P. N. (2011) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2010.2059031 · Cited by 5,307
Differential evolution with dynamic stochastic selection for constrained optimization
Zhang, M., Luo, W., & Wang, X. (2008) · Information Sciences · doi:10.1016/j.ins.2008.02.014 · Cited by 503
Differential evolution for economic load dispatch problems
Noman, N., & Iba, H. (2008) · Electric Power Systems Research · doi:10.1016/j.epsr.2007.11.007 · Cited by 481
Hong, H., Panahi, M., Shirzadi, A., Ma, T., Liu, J., Zhu, A.-X., Chen, W., Kougias, I., & Kazakis, N. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2017.10.114 · Cited by 432
Optimization based on bacterial chemotaxis
Muller, S. D., Marchetto, J., Airaghi, S., & Kournoutsakos, P. (2002) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.985689 · Cited by 329
Metadata
- Authors
- Storn, R.
- Venue
- IEEE Transactions on Evolutionary Computation
- Published
- 1999-04
- Volume
- 3
- Issue
- 1
- Pages
- 22-34
- ISSN
- 1089-778X (ISSN-L)
- OpenAlex
- W2169143828
- Cited by
- 547
- References
- 2
- FWCI
- 2.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- Storn, R. (1999). System design by constraint adaptation and differential evolution. IEEE Transactions on Evolutionary Computation. https://doi.org/10.1109/4235.752918
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.
