Code for Dissertation

NIAID Data Ecosystem2026-03-14 收录

多目标优化

参数敏感性分析

数据链接：

https://data.mendeley.com/datasets/vfhdwhxkt3 数据链接链接失效反馈

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资源简介：

Code for Dissertation "Use of Parametric Sensitivities for Multi-Objective Optimisation"

创建时间：

2023-03-20

BMOBench

多目标优化

算法评估

BMOBench是由Abdullah Al-Dujaili和Suresh Sundaram创建的多目标优化基准平台，包含100个来自文献的多目标优化问题。这些问题根据维度、可分离性和模态性进行分类，旨在评估不同算法的性能。数据集的创建过程涉及对这些问题的选择和分类，以确保算法测试的全面性和公正性。BMOBench主要应用于算法比较和性能评估，特别是在多目标优化领域，以解决算法选择和优化策略的问题。

arXiv2017-07-02 更新80

Process for comparing contagion results with differing simulation run counts.

传染病传播模拟

参数敏感性分析

An outline of our process for setting up, running, and analyzing versions of our main contagion experiments with different simulation run counts (10, 50, and 100). (TEX)

Figshare2022-01-07 更新20

DataTSys1TIA

交通-能源协同优化

多目标优化

Data of test system 1 for the paper entitled Coordinated Transportation and Power Distribution Networks: An Epsilon-Constraint Algorithm Based Co-Optimization for Economy and Emission

Figshare2022-11-03 更新10

Figures for all studied formulas from Partial dependence of ultrasonically estimated fetal weight on biometric parameters

胎儿及婴儿体重估计

参数敏感性分析

Figures presenting the first-order Sobol' indices for all formulas examined in the study.

DataCite Commons2025-05-24 更新30

Sensitivity indices of for the Model (1) at the baseline parameter values in Tables 2 and 3.

蚊媒传染病

参数敏感性分析

As can be seen from the table, for Ae. aegypti mosquitoes, the most sensitive parameter is the mosquito death rate, μv. However, for Ae. albopictus mosquitoes, the most sensitive parameter is the mosq

Figshare2018-08-09 更新20

Code for Dissertation

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