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Titlebook: Bioinspired Optimization Methods and Their Applications; 9th International Co Bogdan Filipi?,Edmondo Minisci,Massimiliano Vasile Conference

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樓主: 管玄樂團
41#
發(fā)表于 2025-3-28 15:23:02 | 只看該作者
https://doi.org/10.1007/978-1-0716-3179-9ameter settings. Though many studies have designed control strategies for scaling factor ., few have considered the adaption of the stability parameter . (of Lévy Flight). In this paper, we propose the Parameter Evolution Self-Adaptive strategy (PESA) to control .. PESA uses an evolutionary algorith
42#
發(fā)表于 2025-3-28 21:33:09 | 只看該作者
43#
發(fā)表于 2025-3-29 01:24:41 | 只看該作者
44#
發(fā)表于 2025-3-29 04:24:55 | 只看該作者
Merrit Debartolo MD,David A. Schulsinger MDen solving offline problems. We fit surrogate models to the data to enable optimization, which introduces uncertainty. The framework incorporates preference information from a decision maker in two aspects to direct the solution process. Firstly, the decision maker can guide the optimization by prov
45#
發(fā)表于 2025-3-29 08:04:09 | 只看該作者
46#
發(fā)表于 2025-3-29 13:08:06 | 只看該作者
47#
發(fā)表于 2025-3-29 17:03:13 | 只看該作者
https://doi.org/10.1007/978-3-319-12105-5and allows us to obtain a more homogeneous stress distribution. This method mimics the way in which biological structures, such as tree trunks, bones and horns, evolve during their growth. The effectiveness of the BGM methodology, coupled with mesh morphing technique based on Radial Basis Functions
48#
發(fā)表于 2025-3-29 21:41:53 | 只看該作者
Children and Elderly with Stones: ,!gent in its environment can be crucial. For instance, if users understand why specific agents fail at a task, they might be able to define better reward functions, to steer the agents’ development in the right direction. Understandability also empowers decisions for agent deployment. If we know why
49#
發(fā)表于 2025-3-30 02:42:00 | 只看該作者
Post Kidney Transplant: Hypertension, which trains unsupervised using a convolutional approach coupled to an autoencoder framework. After training, only a small amount of labeled data is needed to adjust the anomaly threshold. We show that our new approach outperforms several other state-of-the-art anomaly detection algorithms on a Mac
50#
發(fā)表于 2025-3-30 07:20:33 | 只看該作者
Approach to the Highly Sensitized Patientmisation problem (BOP), wherein the upper level (UL) is a biobjective problem determining the pairs of Ground Station (GS) to Spacecraft (SC) and the starting time of each event with objectives the maximisation of the access windows and the minimisation of the communication clashes of each GS. These
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