差异突变集成量子蜂蜜子算法与动态反向学习和拉普拉斯交叉用于模糊的前端产品设计
1School of Economics and Management, Xi'an University of Technology, Xi'an 710054, China.
Biomimetics (Basel, Switzerland)
|January 22, 2024
概括
增强的蜂蜜子算法 (EHBA) 克服了局部最佳并加快了趋同. 这种改进的算法提高了复杂问题的优化性能和多样性.
科学领域:
- 计算智能是一种计算智能.
- 优化算法 优化算法
- 超启发式计算 超启发式计算
背景情况:
- 标准的蜂蜜子算法 (HBA) 面临的挑战是过早地趋同到局部最佳值和缓慢的趋同率.
- 现有的优化算法往往难以有效地平衡全球勘探和本地开发.
研究的目的:
- 提出一个多策略融合增强的蜂蜜鱼算法 (EHBA),以解决原始HBA的局限性.
- 为了提高全球搜索能力,人口多样性和蜂蜜鱼算法的融合速度.
主要方法:
- 纳入了一个动态的相反学习策略,以扩大人口的搜索区域并增强多样性.
- 在蜂蜜采集阶段,集成的差异突变策略与选择性的局部量子搜索或动态拉普拉斯交叉操作员.
- 在CEC2017,CEC2020和CEC2022测试套件上进行了比较实验,以及三个工程示例.
主要成果:
- 与其他八种算法相比,EHBA在各种测试集和工程问题上表现出卓越的性能.
- 改进的算法显示了优化能力和融合速度的显著改进.
- 对收图和框图的比较分析验证了EHBA的有效性.
结论:
- EHBA成功克服了局部最佳问题,并实现了比标准HBA更快的融合.
- 拟议的算法表现出强大的性能和广泛适用于解决复杂的优化问题.
相关概念视频
Design Example
330
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
330
Conservative Site-specific Recombination and Phase Variation
6.0K
Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
The recognition sites for Cre recombinase called LoxP...
6.0K
Hardy-Weinberg Principle
72.2K
Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
72.2K
Mutation, Gene Flow, and Genetic Drift
58.4K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
58.4K
Gene Conversion
9.8K
Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
9.8K
Frequency-dependent Selection
22.0K
When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
22.0K


