Results for CEC 2017 suites with 30 in dimensionality.

NIAID Data Ecosystem2026-03-12 收录

CEC2017基准测试

优化算法

数据链接：

https://figshare.com/articles/dataset/Results_for_CEC_2017_suites_with_30_in_dimensionality_/15833868 数据链接链接失效反馈

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资源简介：

Results for CEC 2017 suites with 30 in dimensionality.

创建时间：

2021-08-20

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机器人抓取规划

优化算法

本数据集面向多指机械手抓取规划与控制优化研究，涵盖基于MuJoCo物理引擎的三指机械手动力学仿真代码、MATLAB抓取质量评估算法、以及多场景抓取任务的完整实验数据。数据集包含两大核心模块：(1) 逆运动学求解与动力学仿真，通过Python实现的IKSolver类求解12自由度关节角度，实时记录指尖位置、速度、接触力、关节力矩等时间序列数据；(2) 抓取质量评估与优化，针对球体、椭圆、矩形、L形、

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Optimizing renewable energy siting in the Swiss landscape

可再生能源

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This study examines the siting scenarios for renewable energy infrastructure (REI) in Switzerland, incorporating the external costs of ecosystem services and, innovatively, social preferences. This ap

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Optimization results of the 8 different algorithms including ADA on 12 benchmark functions.

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Optimization results of the 8 different algorithms including ADA on 12 benchmark functions.

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Computed global minimum results of diverse chaotic PSO algorithms for the 5-D multimodal problems.

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Computed global minimum results of diverse chaotic PSO algorithms for the 5-D multimodal problems.

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A detailed description of CEC 2020.

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Image segmentation is a fundamental step in image processing, yet determining the optimal thresholds for multi-threshold segmentation remains a computationally challenging task as the search space exp

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Results for CEC 2017 suites with 30 in dimensionality.

资源简介：

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