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相关概念视频

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Factorial Design

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Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

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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.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
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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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Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

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Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
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Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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同时解决优化问题:使用多因素进化算法的时间窗口的旅行销售员问题的变体.

Ha-Bang Ban1, Dang-Hai Pham1

  • 1Computer Science Department, School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam.

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|June 22, 2023
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概括

本研究介绍了一种新的算法,它结合了多因素进化算法 (MFEA) 和随机变量邻里搜索 (RVNS) 来同时解决时间窗口的旅行维修工问题 (TRPTW) 和时间窗口的旅行销售员问题 (TSPTW). 这种新的方法提高了解决方案的质量,通过使任务之间的知识转移成为可能.

关键词:
算法算法是一种算法.组合优化的优化.国际货币基金组织 (MFEA) 的资金.这是一种元启发式 (metaheuristic) 启发式.贸易条约 (TPPTW) 是一个关于贸易的条约.这就是TSPTW.

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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
  • 优化算法 优化算法

背景情况:

  • 时间窗口的旅行修理工问题 (TRPTW) 和时间窗口的旅行销售员问题 (TSPTW) 是具有客户特定交货时间限制的关键物流问题.
  • 现有的算法独立地处理TRPTW和TSPTW,缺乏用于同时优化的统一方法.

研究的目的:

  • 开发和评估一个高效的算法,同时解决TRPTW和TSPTW.
  • 在多任务优化中利用任务之间的知识转移来提高解决方案质量.

主要方法:

  • 一个新的算法,将多因素进化算法 (MFEA) 框架与随机变量邻域搜索 (RVNS) 集成在一起.
  • MFEA促进了跨任务的知识转移,而RVNS则增强了解决方案空间的探索.

主要成果:

  • 拟议的MFEA-RVNS算法在同时解决TRPTW和TSPTW方面,与最先进的MFEA相比,表现出更高的性能.
  • 该算法在各种数据集中实现了几个新的最知名的解决方案,表明优化能力的显著改进.

结论:

  • 结合的MFEA-RVNS方法有效地同时解决TRPTW和TSPTW,优于现有的方法.
  • 这一综合战略为物流及其他领域的多任务优化问题提供了一个有希望的方向.