使人烦燥
发表于 2025-3-28 16:23:08
978-3-642-16492-7Springer Berlin Heidelberg 2010
厨师
发表于 2025-3-28 19:52:37
https://doi.org/10.1007/978-3-030-76575-0rs. However, most of the previous studies were only based on heuristic approaches to obtain approximate solutions, and so the final network topologies generated are not reasonable sometimes. Aiming at this problem and taking both the issues of power efficient and node failure into consideration, we
跳动
发表于 2025-3-29 01:06:00
Business Under Crisis, Volume IIomatic speaker verification (ASV) has received a lot of attention in recent years. The complexity of ASV system and its verification time depends on the number of feature vectors, their dimensionality, the complexity of the speaker models and the number of speakers. In this paper, we concentrate on
唤起
发表于 2025-3-29 07:02:08
Zhanna S. Belyaeva,Petiho Numbu Levisacy is usually not intended because of the error of model itself. Gene Expression Programming (GEP) as a kind of newly invented Genotype/phenotype based genetic algorithm can conquer the problem effectively. A GPS height fitting method based on GEP is given in this paper. By experiments and making t
Instinctive
发表于 2025-3-29 08:45:17
Business Under Crisis, Volume II world problem are usually unknown. On the other hand, in different running stages of an EA, the best parameters may be different. Thus adaptively tuning algorithm parameters online is preferred. In this paper, we propose to use an estimation of distribution algorithm (EDA) to do this for a particle
BURSA
发表于 2025-3-29 14:00:27
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大炮
发表于 2025-3-29 16:54:32
Lara Penco,Enrico Ivaldi,Andrea Ciacciovel algorithm to improve the original mutation and selection operators of DE. It explored some benefits from the component model and self-adaption mechanism, while solving the constrained optimization problems. Six benchmark functions about constraint problems are used in the experiment to evaluate
AGOG
发表于 2025-3-29 22:49:39
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独特性
发表于 2025-3-30 03:11:00
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混乱生活
发表于 2025-3-30 07:44:36
Business Value and Sustainabilityperspectral data lack of reliable and effective technique. We presented an evolutional program to select hyperspectral band, which is very fast and certainty, in order to avoid the band felling in local minima, the selected bands are contained in the entire spectral range, and have a good performanc