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相关概念视频

Differential Leveling01:12

Differential Leveling

115
Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
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Gene Duplication and Divergence02:37

Gene Duplication and Divergence

6.0K
The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
6.0K
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

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Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
3.9K
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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Synteny and Evolution02:31

Synteny and Evolution

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John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral...
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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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相关实验视频

Updated: May 24, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

906

一个层次的代理辅助差异进化与核心空间定位.

Laiqi Yu, Zhenyu Meng, Haibin Zhu

    IEEE transactions on cybernetics
    |March 3, 2025
    PubMed
    概括

    这项研究引入了一种新的算法,即具有核心空间定位 (HSADE-CS) 的层次代理辅助微分演化,用于解决高维昂的优化问题. HSADE-CS增强了全球和本地搜索功能,以更好地执行复杂的优化任务.

    科学领域:

    • 优化算法 优化算法
    • 计算智能是一种计算智能.
    • 机器学习 机器学习

    背景情况:

    • 替代辅助进化算法 (SAEA) 对昂贵的优化问题 (EOP) 至关重要.
    • 层次化的SAEA平衡全球勘探和本地开发,但由于维度的诅咒,与高维度EOP (HEOP) 斗争.

    研究的目的:

    • 提出一个新的等级代理辅助微分进化与核心空间定位 (HSADE-CS) 算法.
    • 为了有效地应对高维度昂贵的优化问题 (HEOPs) 的挑战.

    主要方法:

    • 为全球搜索引入了一个非常有前途的抽样策略,以处理替代模型的不确定性.
    • 开发了一种核心空间定位 (CSL) 方法来识别具有高潜力的本地搜索空间.
    • 通过使用Minkowski距离来增强本地搜索,实现了针对差异进化 (DE) 的适应性参数控制.

    主要成果:

    • 在500个尺寸的基准套件 (如CEC2014,CEC2017) 上,HSADE-CS表现出了竞争力的表现.
    • 该算法成功应用于现实世界的问题:圆形天线阵列设计优化.
    • 实验结果显示,HSADE-CS在HEOP上表现优于最先进的SAEA.

    结论:

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    • HSADE-CS有效地克服了HEOPs中维度的诅咒.
    • 拟议的策略显著提高了代理辅助本地搜索的性能.
    • 对于复杂的优化挑战,HSADE-CS提供了极具竞争力和有效的解决方案.