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相关概念视频

Heuristics01:21

Heuristics

74
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
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Genetic Screens02:46

Genetic Screens

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
4.9K
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

41
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...
41
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

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In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...
11.1K
Combinatorial Gene Control02:33

Combinatorial Gene Control

8.3K
Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
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Genetic Variation01:25

Genetic Variation

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Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

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一个增强的遗传算法解决方案,用于考虑各种约束的行程建议.

Muhammed Şehab1,2, Metin Turan2

  • 1Computer Technology Department, Avrupa Vocational School, Kocaeli Health and Technology University, Kocaeli, Turkey.

PeerJ. Computer science
|December 9, 2024
PubMed
概括

本研究介绍了一种增强的遗传算法 (GA),用于优化旅游行程,考虑成本和时间等因素. 改进的GA为热门目的地提供了更有效,更准确的旅行建议.

科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 运营研究 运营研究

背景情况:

  • 路线建议是一个复杂的优化问题.
  • 现有的方法往往无法解释不同的旅游限制和偏好.
  • 有效和个性化的旅行计划对旅游业至关重要.

研究的目的:

  • 开发一个增强的遗传算法 (GA) 来优化旅游行程.
  • 纳入诸如距离,时间,成本,预算和所需活动等多种约束.
  • 提高行程推系统的效率和准确性.

主要方法:

  • 开发了一个增强的遗传算法 (GA).
  • 设计了一个定制的健身功能,以处理旅游业特定的复杂性.
  • 实施了包括"复制顺序交叉"和修改的锦标赛选择在内的新方法.
  • 交换突变方法得到了增强,以提高效率和适应性.

主要成果:

  • 增强的GA实现了显著的改进率:伊斯坦布尔数据集的43.89%,缅甸数据集的56.60%.
  • 提出的方法在时间,效率和准确性方面表现出优于替代方法的优势.
  • 实验评估验证了对基准和定制数据集的增强GA的有效性.
关键词:
交叉方法 交叉方法适应性功能 适应性功能遗传算法 遗传算法 遗传算法旅程建议 旅程建议突变比率是指突变比率.最优的行程方案最优的行程方案

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结论:

  • 增强的GA为旅游行程推问题提供了更好的解决方案.
  • 该方法有效地平衡了多种约束和偏好,以实现最佳的行程生成.
  • 这项研究为个性化旅行计划系统的未来进步提供了有希望的方向.