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Titlebook: Applications of Evolutionary Computation; 27th European Confer Stephen Smith,Jo?o Correia,Christian Cintrano Conference proceedings 2024 Th

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發(fā)表于 2025-3-21 17:17:12 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applications of Evolutionary Computation
期刊簡稱27th European Confer
影響因子2023Stephen Smith,Jo?o Correia,Christian Cintrano
視頻videohttp://file.papertrans.cn/160/159393/159393.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Applications of Evolutionary Computation; 27th European Confer Stephen Smith,Jo?o Correia,Christian Cintrano Conference proceedings 2024 Th
影響因子.The two-volume set LNCS 14634 and 14635 constitutes the refereed proceedings of the 27th European Conference on Applications of Evolutionary Computation, EvoApplications 2024, held as part of EvoStar 2024, in Aberystwyth, UK, April 3–5, 2024, and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EuroGP..The 51 full papers presented in these proceedings were carefully reviewed and selected from 77 submissions. The papers have been organized in the following topical sections:?applications of evolutionary computation; analysis of evolutionary computation methods: theory, empirics, and real-world applications; computational intelligence for sustainability; evolutionary computation in edge, fog, and cloud computing; evolutionary computation in image analysis, signal processing and pattern recognition;?evolutionary machine learning; machine learning and AI in digital healthcare and personalized medicine; problem landscape analysis for efficient optimization; softcomputing applied to games; and surrogate-assisted evolutionary optimisation..
Pindex Conference proceedings 2024
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https://doi.org/10.1007/978-3-662-44342-2ficient, the MV procedure yields a single portfolio that represents the optimal trade-off between risk and return. However, the resulting optimal portfolio is known to be highly sensitive to the input parameters, i.e., the estimates of the return covariance matrix and the mean return vector. It has
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Distances on Surfaces and Knotsn this paper, we investigate if and how gradient information can be included in this algorithm, in order to enhance its performance. Furthermore, we consider the incorporation of Lévy flight to alleviate stability issues due to possibly unreliably gradient estimation as well as promote better explor
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Distances on Surfaces and Knotse past few years, various solutions have emerged, with a substantial focus on the automated generation of synthetic observations for the minority class, a technique known as oversampling. Among the various oversampling approaches, the Synthetic Minority Oversampling Technique (SMOTE) has recently ga
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