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Number of classifiers in ensembles before and after evolution.

Figshare2015-12-02 更新2026-04-29 收录

集成学习优化

进化算法

数据链接：

https://figshare.com/articles/dataset/_Number_of_classifiers_in_ensembles_before_and_after_evolution_/736416 数据链接链接失效反馈

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G means it is a global classifier and L indicates a local classifier.

应用场景：

创建时间：

2015-12-02

多目标优化

进化算法

Despite progress in multiobjective evolutionary algorithms (MOEAs) research, their efficacy in real-world scenarios remains unclear. This article introduces a diagnostic benchmarking framework to eval

DataCite Commons2025-03-28 更新140

Performance and generalization ability of neural network controllers evolved with different methods on the delayed double-pole balancing problem.

神经网络控制

进化算法

Performance and generalization ability of neural network controllers evolved with different methods on the delayed double-pole balancing problem.

NIAID Data Ecosystem50

mnm373/Evol-Alpaca-gen3-500_cleaned

机器学习

进化算法

--- dataset_info: features: - name: No. dtype: int64 - name: seed_id dtype: string - name: generation dtype: int64 - name: evol_history sequence: string - name: instruction

Hugging Face2024-05-25 更新40

Realistic model with noise sounds

进化算法

声音生成

Examples of sounds produced by the median fitness signalers after 500 generations of evolution for the realistic signals with added noise version of our model.

DataCite Commons2020-09-04 更新110

Erdos-Renyi graphs based migration topology in island version of evolutionary algorithm

进化算法

迁移拓扑

Data created in research on importance of structural properties of migration topology in parallel version of evolutionary algorithm - work: "Towards novel migration topologies for parallel evolutionar

DataCite Commons2026-03-17 更新50

Number of classifiers in ensembles before and after evolution.

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