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相关概念视频

Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

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The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
There are multiple approaches to achieve sustainability in a commercial concrete building. For instance, construct a concrete parking area under the building, utilizing pervious concrete paver blocks in open areas to facilitate rainwater collection through an underground...
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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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在施工中优化时间,成本和碳排放:虫算法增强了比赛选择和基于对手的学习能力.

Vu Hong Son Pham1, Phuoc Vo Duy2, Nghiep Trinh Nguyen Dang1

  • 1Faculty of Civil Engineering, Ho Chi Minh City University of Technology (HCMUT), Vietnam National University (VNU-HCM), Ho Chi Minh City, Vietnam.

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概括

本研究介绍了eMOGOA,一种增强的优化算法,用于有效管理建筑项目的时间,成本和二氧化碳排放. 新方法在平衡这些关键项目管理因素方面表现出卓越的表现.

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科学领域:

  • 建设管理建设管理.
  • 优化算法 优化算法
  • 环境工程 环境工程

背景情况:

  • 建筑项目面临着独特的挑战,包括时间和成本限制.
  • 环境影响是建筑业的一个重要问题,但项目经理经常忽视它.
  • 平衡项目时间,成本和环境排放是一个复杂的多目标问题.

研究的目的:

  • 为建设项目管理引入一个改进的多目标优化算法 (eMOGOA).
  • 解决时间,成本和二氧化碳排放 (TCCP) 之间的权衡问题.
  • 提高建筑项目管理中现有的优化算法的性能.

主要方法:

  • 开发了一个增强的多目标优化算法 (eMOGOA).
  • 集成的锦标赛选择 (TS) 和基于对抗的学习 (OBL) 进入MOGOA.
  • 应用和评估eMOGOA,使用29个建筑活动的案例研究.

主要成果:

  • 与MODA,MOSMA,MOALO和MOGOA相比,eMOGOA表现出了更高的性能.与MODA,MOSMA,MOALO和MOGOA相比,eMOGOA表现出了更高的性能.
  • 该算法有效地解决了时间,成本和二氧化碳排放权衡问题 (TCCP).
  • 该案例研究验证了eMOGOA在建筑项目管理中的有效性.

结论:

  • eMOGOA是建设项目管理的高效和相关的新方法.
  • 该算法为平衡时间,成本和环境考虑提供了可行的解决方案.
  • 这项研究强调了先进优化技术在可持续建筑中的潜力.