Friedman ranks of tested methods on CEC2019 benchmark functions.

NIAID Data Ecosystem2026-03-14 收录

数据链接：

https://figshare.com/articles/dataset/Friedman_ranks_of_tested_methods_on_CEC2019_benchmark_functions_/21305301 数据链接链接失效反馈

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资源简介：

Friedman ranks of tested methods on CEC2019 benchmark functions.

创建时间：

2022-10-10

Instances for the ML-MRCPSP-Z.rar

项目管理

优化算法

Benchmark cases of the work titled: "Ant Colony Algorithms for minimizing costs in multi-mode resource constrained project scheduling problems with spatial constraints"

Mendeley Data2024-05-15 更新40

Dataset for: An optimisation approach for designing wildlife corridors with ecological and spatial considerations

野生动物走廊

优化算法

The fragmentation of wildlife habitats caused by anthropogenic activities has reduced biodiversity and impaired key ecosystem functions. Wildlife corridors play an important role in linking detached

DataCite Commons2025-06-01 更新30

A Novel Drone Routing Problem Considering Hybrid Charging and Fuzzy Time Windows Using an Enhanced Adaptive Large Neighborhood Search Algorithm

无人机路径规划

优化算法

This is the experimental data of the manuscript entitled "A Novel Drone Routing Problem Considering Hybrid Charging and Fuzzy Time Windows Using an Enhanced Adaptive Large Neighborhood Search Algorith

Figshare2025-11-03 更新10

Arithmetic and geometric mean obtained from the sum of the squared error in 20 implementation of ANN-PSO network in three ranges of [0.1, 0.4], [0.4, 0.7], [0.7, 1].

机器学习

优化算法

Arithmetic and geometric mean obtained from the sum of the squared error in 20 implementation of ANN-PSO network in three ranges of [0.1, 0.4], [0.4, 0.7], [0.7, 1].

NIAID Data Ecosystem30

Utilizing Shift-or-Shrink Method to Optimize Multisegment Structures of Bent Optical Waveguides

波导设计

优化算法

Abstract The authors utilized a heuristic shift-or-shrink method that is associated with the beam propagation method to design an optimal multisegment bent optical waveguide. By transforming the shape

DataCite Commons2020-08-26 更新20

Friedman ranks of tested methods on CEC2019 benchmark functions.

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