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遗传算法 22

优化 3

加速遗传算法 2

神经网络 2

BP神经网络 1

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Powell法 1

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主动噪声控制（ANC）；过滤扩展最小均方（FXLMS）；模拟计算；遗传算法；内点法 1

交互式遗传算法 1

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Machine learning modeling identifies hypertrophic cardiomyopathy subtypes with genetic signature

《医学前沿（英文）》 2023年第17卷第4期页码 768-780 doi: 10.1007/s11684-023-0982-1

摘要： Previous studies have revealed that patients with hypertrophic cardiomyopathy (HCM) exhibit differences in symptom severity and prognosis, indicating potential HCM subtypes among these patients. Here, 793 patients with HCM were recruited at an average follow-up of 32.78 ± 27.58 months to identify potential HCM subtypes by performing consensus clustering on the basis of their echocardiography features. Furthermore, we proposed a systematic method for illustrating the relationship between the phenotype and genotype of each HCM subtype by using machine learning modeling and interactome network detection techniques based on whole-exome sequencing data. Another independent cohort that consisted of 414 patients with HCM was recruited to replicate the findings. Consequently, two subtypes characterized by different clinical outcomes were identified in HCM. Patients with subtype 2 presented asymmetric septal hypertrophy associated with a stable course, while those with subtype 1 displayed left ventricular systolic dysfunction and aggressive progression. Machine learning modeling based on personal whole-exome data identified 46 genes with mutation burden that could accurately predict subtype propensities. Furthermore, the patients in another cohort predicted as subtype 1 by the 46-gene model presented increased left ventricular end-diastolic diameter and reduced left ventricular ejection fraction. By employing echocardiography and genetic screening for the 46 genes, HCM can be classified into two subtypes with distinct clinical outcomes.

关键词： machine learning methods hypertrophic cardiomyopathy genetic risk

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Interplay between diet and genetic susceptibility in obesity and related traits

Tiange Wang, Min Xu, Yufang Bi, Guang Ning

《医学前沿（英文）》 2018年第12卷第6期页码 601-607 doi: 10.1007/s11684-018-0648-6

摘要：

The incidence of obesity has been rapidly increasing, and this condition has become a major public health threat. A substantial shift in environmental factors and lifestyle, such as unhealthy diet, is among the major driving forces of the global obesity pandemic. Longitudinal studies and randomized intervention trials have shown that genetic susceptibility to obesity may interact with dietary factors in relation to the body mass index and risk of obesity. This review summarized data from recent longitudinal studies and intervention studies on variations and diets and discussed the challenges and future prospects related to this area and public health implications.

关键词： diet genetic susceptibility obesity interaction

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Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology

Tugrul TALASLIOGLU

《结构与土木工程前沿（英文）》 2019年第13卷第4期页码 863-889 doi: 10.1007/s11709-019-0523-9

摘要： This study concerns with the design optimization of steel skeletal structures thereby utilizing both a real-life specification provisions and ready steel profiles named hot-rolled I sections. For this purpose, the enhanced genetic algorithm methodology named EGAwMP is utilized as an optimization tool. The evolutionary search mechanism of EGAwMP is constituted on the basis of generational genetic algorithm (GGA). The exploration capacity of EGAwMP is improved in a way of dividing an entire population into sub-populations and using of a radial basis neural network for dynamically adjustment of EGAwMP’s genetic operator parameters. In order to improve the exploitation capability of EGAwMP, the proposed neural network implementation is also utilized for prediction of more accurate design variables associating with a new design strategy, design codes of which are based on the provisions of LRFD_AISC V3 specification. EGAwMP is applied to determine the real-life ready steel profiles for the optimal design of skeletal structures with 105, 200, 444, and 942 members. EGAwMP accomplishes to increase the quality degrees of optimum designations Furthermore, the importance of using the real-life steel profiles and design codes is also demonstrated. Consequently, EGAwMP is suggested as a design optimization tool for the real-life steel skeletal structures.

关键词： design optimization genetic algorithm multiple populations neural network

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Research progress on genetic improvement of

Chuanping YANG

《农业科学与工程前沿（英文）》 2017年第4卷第4期页码 391-401 doi: 10.15302/J-FASE-2017183

摘要： Suk. is one of the most widely distributed species of , the fourth most valuable timber species in north-eastern China and also a common tree species for landscaping. Over the past 30 years, effective progress has been made in genetic improvement and molecular breeding of . There has been extensive research on breeding techniques, including the collection and conservation of germplasm resources, provenance trials, intensive breeding techniques, crossbreeding and asexual propagation techniques, ploidy breeding and mutation breeding technology, genome sequencing, gene cloning, transgenic and molecular mechanisms of wood formation. A germplasm resource collection has been established by collecting different provenances, and full-sib and half-sib families. In addition, the geographic variation patterns of provenances have been revealed, and the provenance division and superior provenance selections made. flowering and seeding have been improved through intensive breeding techniques. Interspecific hybridization, intraspecific hybridization and parallel crosses were made using fine parents, and intensive seed orchards have been established. Systems of asexual propagation, including cuttings, grafting and tissue culture have been established. A tetraploid was successfully constructed and a triploid seed orchard established. The growth, wood property and resistance genes of have been cloned. An efficient transgenic system mediated by was established, and genes encoding insect resistance, drought resistance and salt tolerance, lignin synthesis, flowering, hormone transport and balance obtained. molecular markers were developed and the high density genetic map constructed. All this research has provided a model and data for the foundation of forest genetic improvement and applied research.

关键词： Betula platyphylla genetic improvement molecular breeding seed orchard

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Genomics and genetic breeding in aquatic animals: progress and prospects

Wenteng XU, Songlin CHEN

《农业科学与工程前沿（英文）》 2017年第4卷第3期页码 305-318 doi: 10.15302/J-FASE-2017154

摘要： Genomics focuses on dissection of genome structure and function to provide a molecular basis for understanding the genetic background. In a pivotal step, the expense of whole genome sequencing has been largely eliminated by the rapid updating of sequencing technology, leading to increasing numbers of decoded genomes of aquatic organisms, driving the aquaculture industry into the genomic era. Multiple aquatic areas have been influenced by these findings, such as accelerated generation shift in the seed industry and the process of breeding improved lines. In this article, we have summarized the latest domestic and international progress of aquatic animals in nine aspects, including WGS and fine mapping, construction of high density genetic/physical maps, trait-related marker/genes screening, as well as sex control, genome editing, and other molecular breeding technologies. Finally, the existing problems in this field have been discussed and five future counter measures have been proposed accordingly.

关键词： aquaculture genomics genetic breeding progress

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Search-and-replace editing of genetic information

Yao LIU, Xingxu HUANG, Xiaolong WANG

《农业科学与工程前沿（英文）》 2020年第7卷第2期页码 231-232 doi: 10.15302/J-FASE-2020322

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Chao SUN, Meng LAI, Shougong ZHANG, Xiaomei SUN

《农业科学与工程前沿（英文）》 2017年第4卷第4期页码 482-492 doi: 10.15302/J-FASE-2017184

摘要： Wood properties are important traits that determine quality of structural wood. With the aim of performing efficient early selection for wood properties, we investigated genetic variation in 20 clones aged from 4 to 15 years for four quality traits: wood density, wall thickness to lumen area, microfibrillar angle (MFA) and modulus of elasticity (MOE). We observed that age-related trends in overall means varied for different traits: MFA decreased with the age, while the others generally increased with the age. Phenotypic variance always showed significant differences from the age of 8 years onward, with CVG ranging from 4% to 25%. Also, clonal repeatability increased steadily until 9 years old and then kept medium or higher intensity (0.4–0.8). After the age of 6, genetic correlations were generally higher than phenotypic correlations. Estimates of early selection efficiency suggested that the optimal selection age for wood density was at age 5–6 years, while it was 9–10 years for the other traits. In combination with previous results, we proposed a comprehensive early selection strategy for larch clonal breeding that involved selection based on nursery rooting ability, phenology, growth traits, and wood properties.

关键词： early selection genetic variation wood properties SilviScan Larix kaempferi

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Optimal design of steel portal frames based on genetic algorithms

CHEN Yue, HU Kai

《结构与土木工程前沿（英文）》 2008年第2卷第4期页码 318-322 doi: 10.1007/s11709-008-0055-1

摘要： As for the optimal design of steel portal frames, due to both the complexity of cross selections of beams and columns and the discreteness of design variables, it is difficult to obtain satisfactory results by traditional optimization. Based on a set of constraints of the Technical Specification for Light-weighted Steel Portal Frames of China, a genetic algorithm (GA) optimization program for portal frames, written in MATLAB code, was proposed in this paper. The graph user interface (GUI) is also developed for this optimal program, so that it can be used much more conveniently. Finally, some examples illustrate the effectiveness and efficiency of the genetic-algorithm-based optimal program.

关键词： satisfactory genetic-algorithm-based Technical Specification algorithm efficiency

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Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized

《结构与土木工程前沿（英文）》 2023年第17卷第3期页码 378-395 doi: 10.1007/s11709-022-0899-9

摘要： This paper presents a combined method based on optimized neural networks and optimization algorithms to solve structural optimization problems. The main idea is to utilize an optimized artificial neural network (OANN) as a surrogate model to reduce the number of computations for structural analysis. First, the OANN is trained appropriately. Subsequently, the main optimization problem is solved using the OANN and a population-based algorithm. The algorithms considered in this step are the arithmetic optimization algorithm (AOA) and genetic algorithm (GA). Finally, the abovementioned problem is solved using the optimal point obtained from the previous step and the pattern search (PS) algorithm. To evaluate the performance of the proposed method, two numerical examples are considered. In the first example, the performance of two algorithms, OANN + AOA + PS and OANN + GA + PS, is investigated. Using the GA reduces the elapsed time by approximately 50% compared with using the AOA. Results show that both the OANN + GA + PS and OANN + AOA + PS algorithms perform well in solving structural optimization problems and achieve the same optimal design. However, the OANN + GA + PS algorithm requires significantly fewer function evaluations to achieve the same accuracy as the OANN + AOA + PS algorithm.

关键词： optimization surrogate models artificial neural network SAP2000 genetic algorithm

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Advances in genetic engineering of domestic animals

Shaohua WANG,Kun ZHANG,Yunping DAI

《农业科学与工程前沿（英文）》 2016年第3卷第1期页码 1-10 doi: 10.15302/J-FASE-2016085

摘要： Global population will increase to over nine billion by 2050 with the doubling in demand for meat and milk. To overcome this challenge, it is necessary to breed highly efficient and productive livestock. Furthermore, livestock are also excellent models for human diseases and ideal bioreactors to produce pharmaceutical proteins. Thus, genetic engineering of domestic animals presents a critical and valuable tool to address these agricultural and biomedical applications. Overall, genetic engineering has evolved through three stages in history: transgenesis, gene targeting, and gene editing. Since the birth of the first transgenic pig, genetic engineering in livestock has been advancing slowly due to inherent technical limitations. A major breakthrough has been the advent of somatic cell nuclear transfer, which, for the first time, provided the technical ability to produce site-specific genome-modified domestic animals. However, the low efficiency of gene targeting events in somatic cells prohibits its wide use in agricultural and biomedical applications. Recently, rapid progress in tools and methods of genome engineering has been made, allowing genetic editing from mutation of a single base pair to the deletion of entire chromosomes. Here, we review the major advances of genetic engineering in domestic animals with emphasis placed on the introduction of latest designer nucleases.

关键词： CRISPR TALEN ZFN gene editing livestock pig cattle

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Plant genetic engineering and genetically modified crop breeding: history and current status

Xingchun WANG,Shujun CHANG,Jie LU,Rupert FRAY,Don GRIERSON,Yuanhuai HAN

《农业科学与工程前沿（英文）》 2017年第4卷第1期页码 5-27 doi: 10.15302/J-FASE-2017131

摘要： This review charts the major developments in the genetic manipulation of plant cells that have taken place since the first gene transfer experiments using Ti plasmids in 1983. Tremendous progress has been made in both our scientific understanding and technological capabilities since the first genetically modified (GM) crops were developed with single gene resistances to herbicides, insects, viruses, and the silencing of unde-sirable genes. Despite opposition in some parts of the world, the area planted with first generation GM crops has grown from 1.7 Mhm in 1996 to 179.7 Mhm hectares in 2015. The toolkit available for genetic modification has expanded greatly since 1996 and recently Nobel Laureates have called on Greenpeace to end their blanket opposition, and plant scientists have urged that consideration be given to the benefits of GM crops based on actual evidence. It is now possible to use GM to breed new crop cultivars resistant to a much wider range of pests and diseases, and to produce crops better able to adapt to climate change. The advent of new CRISPR-based technologies makes it possible to contemplate a much wider range of improvements based on transfer of new metabolic pathways and traits to improve nutritional quality, with a much greater degree of precision. Use of GM, sometimes in conjunction with other approaches, offers great opportunities for improving food quality, safety, and security in a changing world.

关键词： plant transformation transgene genetic modification

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Multi-objective genetic algorithms based structural optimization and experimental investigation of the

Pengxing YI,Lijian DONG,Tielin SHI

《机械工程前沿（英文）》 2014年第9卷第4期页码 354-367 doi: 10.1007/s11465-014-0319-5

摘要：

To improve the dynamic performance and reduce the weight of the planet carrier in wind turbine gearbox, a multi-objective optimization method, which is driven by the maximum deformation, the maximum stress and the minimum mass of the studied part, is proposed by combining the response surface method and genetic algorithms in this paper. Firstly, the design points’ distribution for the design variables of the planet carrier is established with the central composite design (CCD) method. Then, based on the computing results of finite element analysis (FEA), the response surface analysis is conducted to find out the proper sets of design variable values. And a multi-objective genetic algorithm (MOGA) is applied to determine the direction of optimization. As well, this method is applied to design and optimize the planet carrier in a 1.5 MW wind turbine gearbox, the results of which are validated by an experimental modal test. Compared with the original design, the mass and the stress of the optimized planet carrier are respectively reduced by 9.3% and 40%. Consequently, the cost of planet carrier is greatly reduced and its stability is also improved.

关键词： planet carrier multi-objective optimization genetic algorithms wind turbine gearbox modal experiment

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退火-遗传算法寻优及其实现

王英

《中国工程科学》 2008年第10卷第7期页码 57-59

摘要：

分析了遗传算法及退火算法的优缺点，提出用退火算法改进遗传算法局部的最优值搜索效率低问题。退火算法与遗传算法融合后，使算法在寻优结果上更加迅速精确。通过水泥的配比工程实例，与单纯的遗传算法的结果进行对比，说明该方法是有效的。

关键词：遗传算法退火算法遗传算法改进

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Optimization of turbine cold-end system based on BP neural network and genetic algorithm

Chang CHEN,Danmei XIE,Yangheng XIONG,Hengliang ZHANG

《能源前沿（英文）》 2014年第8卷第4期页码 459-463 doi: 10.1007/s11708-014-0335-5

摘要： The operation condition of the cold-end system of a steam turbine has a direct impact on the economy and security of the unit as it is an indispensible auxiliary system of the thermal power unit. Many factors influence the cold-end operation of a steam turbine; therefore, the operation mode needs to be optimized. The optimization analysis of a 1000 MW ultra-supercritical (USC) unit, the turbine cold-end system, was performed utilizing the back propagation (BP) neural network method with genetic algorithm (GA) optimization analysis. The optimized condenser pressure under different conditions was obtained, and it turned out that the optimized parameters were of significance to the performance and economic operation of the system.

关键词： optimization turbine cold-end system BP neural network genetic algorithm