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相关概念视频

Survival Tree01:19

Survival Tree

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Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
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Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

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In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
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Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

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Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
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Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

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Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
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Theorems of Pappus and Guldinus: Problem Solving01:12

Theorems of Pappus and Guldinus: Problem Solving

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Pappus and Guldinus's theorems are powerful mathematical principles that are used for finding the surface area and volume of composite shapes. For example, consider a cylindrical storage tank with a conical top. Finding the surface area or volume can be challenging for such complex shapes. These theorems are particularly useful in calculating the volume and surface area of such systems. Here, the cylindrical storage tank with a conical top can be broken down into two simple shapes: a...
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Normal and Tangetial Components: Problem Solving01:24

Normal and Tangetial Components: Problem Solving

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Consider a man with a mass of 70 kg seated in a chair connected to a pin support through a member BC. If the man maintains an upright position, the task is to determine the horizontal and vertical reactions of the chair on the man when the member makes a 45° angle with the horizontal. At this moment, the man has a speed of 5 m/s, increasing at a rate of 1 m/s².
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相关实验视频

Updated: Jul 15, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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数据,实例集和实例生成器用于跳动约束最小跨度树问题,延迟约束最小跨度树问题及其双目标变体.

Iago A Carvalho1, Amadeu A Coco2

  • 1Department of Computer Science, Universidade Federal de Alfenas, Alfenas, Brazil.

Data in brief
|September 25, 2023
PubMed
概括

开发了一个新的C ++基准实例生成器,用于受约束的最小跨度树问题 (CMSTP). 该工具允许个性化实例生成,包括以前使用的实例和原始结果,以推进CMSTP算法研究.

关键词:
双目标优化双目标优化约束的最小跨越树问题图表 图表 图表 图表多目标优化多目标优化优化优化 优化优化

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科学领域:

  • 运营研究 运营研究
  • 计算机科学 计算机科学
  • 算法设计 算法设计

背景情况:

  • 约束最小跨度树问题 (CMSTP) 是复杂的优化挑战.
  • 现有的基准可能不完全支持多样化的算法开发和评估.

研究的目的:

  • 为CMSTP引入一个新的,用户友好的基准实例生成器.
  • 为了促进针对特定研究需求的个性化实例的创建.
  • 为评估CMSTP算法提供一个全面的数据集.

主要方法:

  • 在没有外部库的情况下开发基于C++的实例生成器.
  • 实施五个可定制的参数,例如生成.
  • 640个现有的基准实例的汇编和描述.
  • 包括原始计算实验结果.

主要成果:

  • 一个多功能和可访问的CMSTP的基准实例生成器.
  • 一个记录下来的640个基准实例集.
  • 来自计算实验的原始数据以支持可重现性.

结论:

  • 开发的生成器和数据集将有助于推进和严格评估CMSTP的算法.
  • 本资源旨在促进对受约束优化问题的进一步研究.