The Cross-Entropy Method for Continuous Multi-Extremal Optimization

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Kroese, Dirk P., et al. “The Cross-Entropy Method for Continuous Multi-Extremal Optimization”. Methodology and Computing in Applied Probability, vol. 8, no. 3, 2006, pp. 383-07, https://doi.org/10.1007/s11009-006-9753-0.
Kroese, D. P., Porotsky, S., & Rubinstein, R. Y. (2006). The Cross-Entropy Method for Continuous Multi-Extremal Optimization. Methodology and Computing in Applied Probability, 8(3), 383-407. https://doi.org/10.1007/s11009-006-9753-0
Kroese, Dirk P., Sergey Porotsky, and Reuven Y. Rubinstein. “The Cross-Entropy Method for Continuous Multi-Extremal Optimization”. Methodology and Computing in Applied Probability 8, no. 3 (2006): 383-407. https://doi.org/10.1007/s11009-006-9753-0.
1.
Kroese DP, Porotsky S, Rubinstein RY. The Cross-Entropy Method for Continuous Multi-Extremal Optimization. Methodology and Computing in Applied Probability. 2006;8(3):383-407.
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Ant system: optimization by a colony of cooperating agents IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 4,338 1996
Swift — a new constrained optimization technique Computer Methods in Applied Mechanics and Engineering
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10.1023/A:1010091220143 1999
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The category Technology: Engineering (General). Civil engineering (General) 42 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A Model Reference Adaptive Search Method for Global Optimization and was published in 2007. The most recent citation comes from a 2024 study titled Unsupervised tail modeling via noisy cross‐entropy minimization. This article reached its peak citation in 2017, with 12 citations. It has been cited in 99 different journals, 15% of which are open access. Among related journals, the Monthly Notices of the Royal Astronomical Society cited this research the most, with 5 citations. The chart below illustrates the annual citation trends for this article.
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