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Learning to select the recombination operator for derivative-free optimization

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Science China Mathematics 2024年第6期67卷 1457-1480页

作者： Haotian Zhang jianyong sun Thomas Back Zongben Xu School of Mathematics and Statistics Xi’an Jiaotong UniversityXi’an710049China Leiden Institute of Advanced Computer Science Leiden UniversityLeiden2333 CANetherlands

Extensive studies on selecting recombination operators adaptively,namely,adaptive operator selection(AOS),during the search process of an evolutionary algorithm(EA),have shown that AOS is promising for improving EA's performance.A variety of heuristic mechanisms for AOS have been proposed in recent decades,which usually contain two main components:the feature extraction and the policy setting.The feature extraction refers to as extracting relevant features from the information collected during the search process.The policy setting means to set a strategy(or policy)on how to select an operator from a pool of operators based on the extracted feature.Both components are designed by hand in existing studies,which may not be efficient for adapting optimization problems.In this paper,a generalized framework is proposed for learning the components of AOS for one of the main streams of EAs,namely,differential evolution(DE).In the framework,the feature extraction is parameterized as a deep neural network(DNN),while a Dirichlet distribution is considered to be the policy.A reinforcement learning method,named policy gradient,is used to train the DNN.As case studies,the proposed framework is applied to two DEs including the classic DE and a recently-proposed DE,which result in two new algorithms named PG-DE and PG-MPEDE,respectively.Experiments on the Congress of Evolutionary Computation(CEC)2018 test suite show that the proposed new algorithms perform significantly better than their counterparts.Finally,we prove theoretically that the considered classic methods are the special cases of the proposed framework.

关键词： evolutionary algorithm differential evolution adaptive operator selection reinforcement learning deep learning

Demonstration of a diode-pumped dual-wavelength metastable krypton laser

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High Power Laser Science and Engineering 2023年第6期11卷 223-228页

作者： Qingshan Liu Rui Wang Zining Yang jianyong sun Weiqiang Yang Hongyan Wang Xiaojun Xu College of Advanced Interdisciplinary Studies National University of Defense TechnologyChangshaChina Nanhu Laser Laboratory National University of Defense TechnologyChangshaChina Hunan Provincial Key Laboratory of High Energy Laser Technology National University of Defense TechnologyChangshaChina

Diode-pumped rare gas lasers are potential candidates for high-energy and high-beam quality laser systems.Currently,most investigations are focused on metastable Ar lasers.The Kr system has the unique advantages of higher quantum efficiency and lower discharge requirements for comparison.In this paper,a diode-pumped metastable Kr laser was demonstrated for the first time.Using a repetitively pulsed discharge at a Kr/He pressure of up to approximately1500 Torr,metastable Kr atoms of more than 10^(13)cm^(-3)were generated.Under diode pumping,the laser realized a dual-wavelength output with an average output power of approximately 100 mW and an optical conversion efficiency of approximately 10% with respect to the absorbed pump power.A kinetics study involving population distribution and evolution was conducted to analyze the laser performance.

关键词： diode pump krypton metastable rare gas laser

Combinations of Estimation of Distribution Algorithms and Other Techniques

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International Journal of Automation and computing 2007年第3期4卷 273-280页

作者： Qingfu Zhang jianyong sun Edward Tsang Department of Computer Science University of EssexWivenhoe ParkColchester CO4 3SQUK School of Computer Science University of BirminghamBirmingham B15 2TTUK

This paper summaries our recent work on combining estimation of distribution algorithms （EDA） and other techniques for solving hard search and optimization problems： a） guided mutation, an offspring generator in which the ideas from EDAs and genetic algorithms are combined together, we have shown that an evolutionary algorithm with guided mutation outperforms the best GA for the maximum clique problem, b） evolutionary algorithms refining a heuristic, we advocate a strategy for solving a hard optimization problem with complicated data structure, and c） combination of two different local search techniques and EDA for numerical global optimization problems, its basic idea is that not all the new generated points are needed to be improved by an expensive local search.

关键词： Estimation distribution algorithm guided mutation memetic algorithms global optimization.

MSIsensor-pro: Fast, Accurate, and Matched-normal-sample-free Detection of Microsatellite Instability

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Genomics, Proteomics & Bioinformatics 2020年第1期18卷 65-71页

作者： Peng Jia Xiaofei Yang Li Guo Bowen Liu Jiadong Lin Hao Liang jianyong sun Chengsheng Zhang Kai Ye School of Automation Science and Engineering Faculty of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’an 710049China MOE Key Laboratory for Intelligent Networks&Networks Security Faculty of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’an 710049China School of Computer Science and Technology Faculty of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’an 710049China School of Life Science and Technology Xi’an Jiaotong UniversityXi’an 710049China Leiden Institute of Advanced Computer Science Leiden UniversityLeiden 2311 ZENetherlands School of Mathematics and Statistics Xi’an Jiaotong UniversityXi’an 710049China Precision Medicine Center the First Affiliated Hospital of Xi’an Jiaotong UniversityXi’an 710061China Jackson Laboratory for Genomic Medicine FarmingtonCT 06032USA Genome Institute the First Affiliated Hospital of Xi’an Jiaotong UniversityXi’an 710061China

Microsatellite instability(MSI)is a key biomarker for cancer therapy and prognosis.Traditional experimental assays are laborious and time-consuming,and next-generation sequencingbased computational methods do not work on leukemia samples,paraffin-embedded samples,or patient-derived xenografts/organoids,due to the requirement of matched normal samples.Herein,we developed MSIsensor-pro,an open-source single sample MSI scoring method for research and clinical applications.MSIsensor-pro introduces a multinomial distribution model to quantify polymerase slippages for each tumor sample and a discriminative site selection method to enable MSI detection without matched normal samples.We demonstrate that MSIsensor-pro is an ultrafast,accurate,and robust MSI calling method.Using samples with various sequencing depths and tumor purities,MSIsensor-pro significantly outperformed the current leading methods in both accuracy and computational cost.MSIsensor-pro is available at https://***/xjtu-omics/msisensor-pro and free for non-commercial use,while a commercial license is provided upon request.

关键词： Microsatellite Polymerase slippage Multinomial distribution Microsatellite instability Tumor

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医学技术类专业教学评价指标体系构建研究

黑龙江科学 2024年第1期15卷 135-137页

作者：楚琰孙健勇西安思源学院医学院西安710038 空军军医大学第二附属医院西安710038

为进一步提高医学技术类专业的教学质量,构建医学技术类专业教学评价指标体系,并基于此制作调查问卷。对问卷调查结果进行信度检验,在通过信度检验的情况下运用熵值法测算各细分指标的权重,发现教学资源这一指标的权重最大,学生对该专... 详细信息

为进一步提高医学技术类专业的教学质量,构建医学技术类专业教学评价指标体系,并基于此制作调查问卷。对问卷调查结果进行信度检验,在通过信度检验的情况下运用熵值法测算各细分指标的权重,发现教学资源这一指标的权重最大,学生对该专业的教学评价结果较好。

关键词：教师综合素养教学课程设置教学设施建设医学技术类专业

基于雨课堂的“O-PIRTAS”翻转课堂在病理学教学中的应用

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继续医学教育 2024年第1期38卷 17-20页

作者：楚琰孙健勇西安思源学院医学院陕西西安710038 空军军医大学第二附属医院胸腔外科陕西西安710038

翻转课堂符合信息化时代背景下教育教学改革发展的趋势,O-PIRTAS模型是翻转课堂教学实践的一种通用模式。本研究将O-PIRTAS翻转课堂模式应用于病理学教学中,对教学环节重新设计,依托雨课堂,完成确定目标、课前准备、微课视频、内容回顾... 详细信息

翻转课堂符合信息化时代背景下教育教学改革发展的趋势,O-PIRTAS模型是翻转课堂教学实践的一种通用模式。本研究将O-PIRTAS翻转课堂模式应用于病理学教学中,对教学环节重新设计,依托雨课堂,完成确定目标、课前准备、微课视频、内容回顾、知识测试、活动探究和课堂总结等7个过程,实现课前、课中、课后教学全过程覆盖和线上学习数据贯通,有效激发了学生学习主动性,提高了教学质量,同时反思翻转课堂教学的不足,为翻转课堂在医学基础学科中的应用提供了有益参考。

关键词： O-PIRTAS 翻转课堂雨课堂病理学教学模式教学改革

Aberrantly high activation of a FoxM1-STMN1 axis contributes to progression and tumorigenesis in FoxMl-driven cancers

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Signal Transduction and Targeted Therapy 2021年第3期6卷 851-863页

作者： Jun Liu Jipeng Li Ke Wang Haiming Liu jianyong sun Xinhui Zhao Yanping Yu Yihuan Qiao Ye Wu Xiaofang Zhang Rui Zhang Angang Yang State Key Laboratory of Cancer Biology Department of Biochemistry and Molecular BiologyFourth Military Medical University710032 Xi'anShaanxiChina State Key Laboratory of Cancer Biology Institute of Digestive DiseasesXijing HospitalFourth Military Medical University710032 Xi'anShaanxiChina Department of Experimental Surgery Xijing HospitalFourth Military Medical University710032 Xi'anShaanxiChina School of Software Engineering Beijing Jiaotong University100044 BeijingChina Department of Thoracic Surgery Tangdu HospitalFourth Military Medical University710038 Xi'anShaanxiChina Department of Thyroid and Breast Surgery Xi'an No.3 HospitalThe Affiliated Hospital of Northwest University710018 Xi'anShaanxiChina The Second Ward of Gynecological Tumor Shaanxi Provincial Cancer Hospital710061 Xi'anShaanxiChina School of Clinical Medicine Xi'an Medical University710021 Xi'anShaanxiChina State Key Laboratory of Cancer Biology Department of ImmunologyFourth Military Medical University710032 Xi'anShaanxiChina

Fork-head box protein M1(FoxM1)is a transcriptional factor which plays critical roles in cancer development and progression.However,the general regulatory mechanism of FoxM1 is still limited.STMN1 is a microtubule-binding protein which can inhibit the assembly of microtubule dimer or promote depolymerization of microtubules.It was reported as a major responsive factor of paclitaxel resistance for clinical chemotherapy of tumor patients.But the function of abnormally high level of STMN1 and its regulation mechanism in cancer cells remain unclear.In this study,we used public database and tissue microarrays to analyze the expression pattern of FoxM1 and STMN1 and found a strong positive correlation between FoxM1 and STMN1 in multiple types of cancer.Lentivirus-mediated FoxM1/STMN1-knockdown cell lines were established to study the function of FoxM1/STMN1 by performing cell viability assay,plate clone formation assay,soft agar assay in vitro and xenograft mouse model in vivo.Our results showed that FoxMl promotes cell proliferation by upregulating STMN1.Further ChIP assay showed that FoxM1 upregulates STMN1 in a transcriptional level.Prognostic analysis showed that a high level of FoxM1 and STMN1 is related to poor prognosis in solid tumors.Moreover,a high co-expression of FoxM1 and STMN1 has a more significant correlation with poor prognosis.Our findings suggest that a general FoxMl-STMN1 axis contributes to cell proliferation and tumorigenesis in hepatocellular carcinoma,gastric cancer and colorectal cancer.The combination of FoxM1 and STMN1 can be a more precise biomarker for prognostic prediction.

关键词： cancer chemotherapy clinical

The dawn−dusk asymmetry in mesosphere and lower thermosphere temperature disturbances during geomagnetic storms at high latitude

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Earth and Planetary Physics 2024年第2期8卷 356-367页

作者： GuanChun Wei jianyong Lu Fen Tang JingYuan Li Meng sun Institute of Space Weather School of Atmospheric PhysicsNanjing University of Information Science&TechnologyNanjing 210044China College of Information and Communication National University of Defense TechnologyWuhan 430019China

Utilizing observations by the Sounding of the Atmosphere using Broadband Emission Radiometry(SABER)instrument,we quantitatively assessed the dawn-dusk asymmetry in temperature disturbances within the high-latitude mesosphere and lower thermosphere(MLT)during the main phase of geomagnetic storms in this study.An analysis of five geomagnetic superstorm events indicated that during the main phase,negative temperature disturbances were more prevalent on the dawn side than on the dusk side in the high-latitude MLT region.Results of a statistical analysis of 54 geomagnetic storm events also revealed a notable disparity in temperature disturbances between the dawn and dusk sides.At high latitudes,38.2%of the observational points on the dawn side exhibited negative temperature disturbances(less than−5 K),whereas on the dusk side,this percentage was only 29.5%.In contrast,at mid-latitudes,these proportions were 34.1%and 36.5%,respectively,showing no significant difference.We also conducted a statistical analysis of temperature disturbances at different altitudes,which revealed an increase in the proportion of warming disturbances with altitude.Conversely,the proportion of cooling disturbances initially rose with altitude,reaching a peak around 105 km,and subsequently decreased.These temperature disturbance differences could be explained by the day-night asymmetry in vertical wind disturbances during storm conditions.

关键词： dawn dusk asymmetry SABER(Sounding of the Atmosphere using Broadband Emission Radiometry) geomagnetic storms mesosphere and lower thermosphere

Gray bootstrap method for estimating frequency-varying random vibration signals with small samples

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Chinese Journal of Aeronautics 2014年第2期27卷 383-389页

作者： Wang Yanqing Wang Zhongyu sun jianyong Zhang Jianjun Zissimos Mourelato School of Instrumentation Science & Opto-electronics Engineering Beihang University College of Science Shandong University of Science and Technology The Comprehensive Technology Research Institute of China Aviation Mechanical Engineering Department Oakland University

During environment testing, the estimation of random vibration signals （RVS） is an important technique for the airborne platform safety and reliability. However, the available meth- ods including extreme value envelope method （EVEM）, statistical tolerances method （STM） and improved statistical tolerance method （ISTM） require large samples and typical probability distri- bution. Moreover, the frequency-varying characteristic of RVS is usually not taken into account. Gray bootstrap method （GBM） is proposed to solve the problem of estimating frequency-varying RVS with small samples. Firstly, the estimated indexes are obtained including the estimated inter- val, the estimated uncertainty, the estimated value, the estimated error and estimated reliability. In addition, GBM is applied to estimating the single flight testing of certain aircraft. At last, in order to evaluate the estimated performance, GBM is compared with bootstrap method （BM） and gray method （GM） in testing analysis. The result shows that GBM has superiority for estimating dynamic signals with small samples and estimated reliability is proved to be 100% at the given confidence level.

关键词： Dynamic process Estimation Frequency-varying Gray bootstrap method Random vibration signalsSmall samples