Optimization of a Single Flash Geothermal Power Plant Powered by a Trans-Critical Carbon Dioxide Cycle Using Genetic Algorithm and Nelder-Mead Simplex Method

The usage of renewable energies,including geothermal energy,is expanding rapidly worldwide.The low efficiency of geothermal cycles has consistently highlighted the importance of recovering heat loss for these cycles.This paper proposes a combined power generation cycle(single flash geothermal cycle with trans-critical CO_(2) cycle)and simulates in the EES(Engineering Equation Solver)software.The results show that the design parameters of the proposed system are significantly improved compared to the BASIC single flash cycle.Then,the proposed approach is optimized using the genetic algorithm and the Nelder-Mead Simplex method.Separator pressure,steam turbine output pressure,and CO_(2) turbine inlet pressure are three assumed variable parameters,and exergy efficiency is the target parameter.In the default operating mode,the system exergy efficiency was 32%,increasing to 39%using the genetic algorithm and 37%using the Nelder-Mead method.

Solution of Stochastic Quadratic Programming with Imperfect Probability Distribution Using Nelder-Mead Simplex Method

Stochastic quadratic programming with recourse is one of the most important topics in the field of optimization. It is usually assumed that the probability distribution of random variables has complete information, but only part of the information can be obtained in practical situation. In this paper, we propose a stochastic quadratic programming with imperfect probability distribution based on the linear partial information (LPI) theory. A direct optimizing algorithm based on Nelder-Mead simplex method is proposed for solving the problem. Finally, a numerical example is given to demonstrate the efficiency of the algorithm.

Hybrid Improved Self-adaptive Differential Evolution and Nelder-Mead Simplex Method for Solving Constrained Real-Parameters

In this paper, a new hybrid algorithm based on exploration power of a new improvement self-adaptive strategy for controlling parameters in DE （differential evolution） algorithm and exploitation capability of Nelder-Mead simplex method is presented （HISADE-NMS）. The DE has been used in many practical cases and has demonstrated good convergence properties. It has only a few control parameters as number of particles （NP）, scaling factor （F） and crossover control （CR）, which are kept fixed throughout the entire evolutionary process. However, these control parameters are very sensitive to the setting of the control parameters based on their experiments. The value of control parameters depends on the characteristics of each objective function, therefore, we have to tune their value in each problem that mean it will take too long time to perform. In the new manner, we present a new version of the DE algorithm for obtaining self-adaptive control parameter settings. Some modifications are imposed on DE to improve its capability and efficiency while being hybridized with Nelder-Mead simplex method. To valid the robustness of new hybrid algorithm, we apply it to solve some examples of structural optimization constraints.

Interleukin 1βreceptor and synaptic dysfunction in recurrent brain infection with Herpes simplex virus type-1

Several experimental evidence suggests a link between brain Herpes simplex virus type-1 infection and the occurrence of Alzheimer’s disease.However,the molecular mechanisms underlying this association are not completely understood.Among the molecular mediators of synaptic and cognitive dysfunction occurring after Herpes simplex virus type-1 infection and reactivation in the brain neuroinflammatory cytokines seem to occupy a central role.Here,we specifically reviewed literature reports dealing with the impact of neuroinflammation on synaptic dysfunction observed after recurrent Herpes simplex virus type-1 reactivation in the brain,highlighting the role of interleukins and,in particular,interleukin 1βas a possible target against Herpes simplex virus type-1-induced neuronal dysfunctions.

Herpes simplex keratitis:A brief clinical overview

The aim of our minireview is to provide a brief overview of the diagnosis,clinical aspects,treatment options,management,and current literature available regarding herpes simplex keratitis(HSK).This type of corneal viral infection is caused by the herpes simplex virus(HSV),which can affect several tissues,including the cornea.One significant aspect of HSK is its potential to cause recurrent episodes of inflammation and damage to the cornea.After the initial infection,the HSV can establish a latent infection in the trigeminal ganglion,a nerve cluster near the eye.The virus may remain dormant for extended periods.Periodic reactivation of the virus can occur,leading to recurrent episodes of HSK.Factors triggering reactivation include stress,illness,immunosuppression,or trauma.Recurrent episodes can manifest in different clinical patterns,ranging from mild epithelial involvement to more severe stromal or endothelial disease.The severity and frequency of recurrences vary among individuals.Severe cases of HSK,especially those involving the stroma and leading to scarring,can result in vision impairment or even blindness in extreme cases.The cornea's clarity is crucial for good vision,and scarring can compromise this,potentially leading to visual impairment.The management of HSK involves not only treating acute episodes but also implementing long-term strategies to prevent recurrences and attempt repairs of corneal nerve endings via neurotization.Antiviral medications,such as oral Acyclovir or topical Ganciclovir,may be prescribed for prophylaxis.The immune response to the virus can contribute to corneal damage.Inflammation,caused by the body's attempt to control the infection,may inadvertently harm the corneal tissues.Clinicians should be informed about triggers and advised on measures to minimize the risk of reactivation.In summary,the recurrent nature of HSK underscores the importance of both acute and long-term management strategies to preserve corneal health and maintain optimal visual function.

Black Garlic as an Antiviral for Herpes Simplex Virus-2 in Lung Cells

Allicin, an antioxidant, is known for providing garlic with its unique fragrance and taste, as well as for its antimicrobial properties. Black garlic, a fermented form of garlic, contains higher levels of antioxidants than fresh garlic. Antioxidants play a vital role in alleviating cellular stress during viral infections. Viral infections result in oxidative stress through the production of reactive oxidative species (ROS). A prolonged state of oxidative stress can result in cell death, DNA damage, and disease progression. In this study, black garlic extract (BGE) is evaluated for its ability to mitigate cytopathic effects and oxidative stress caused by herpes simplex virus-2 (HSV-2) infections in vitro. Antiviral assays were performed to determine the percent of viral inhibition resulting from treatment with the BGE. ROS-GloTM H2O2 assays were then completed to measure the post-infection ROS levels of BGE-treated virus and cells. The results thus far suggest that BGE may inhibit viral infection and decrease levels of oxidative stress.

Study on Joint Method of 3D Acoustic Emission Source Localization Simplex and Grid Search Scanning

Acoustic emission(AE)source localization is a fundamental element of rock fracture damage imaging.To improve the efficiency and accuracy of AE source localization,this paper proposes a joint method comprising a three-dimensional(3D)AE source localization simplex method and grid search scanning.Using the concept of the geometry of simplexes,tetrahedral iterations were first conducted to narrow down the suspected source region.This is followed by a process of meshing the region and node searching to scan for optimal solutions,until the source location is determined.The resulting algorithm was tested using the artificial excitation source localization and uniaxial compression tests,after which the localization results were compared with the simplex and exhaustive methods.The results revealed that the localization obtained using the proposed method is more stable and can be effectively avoided compared with the simplex localization method.Furthermore,compared with the global scanning method,the proposed method is more efficient,with an average time of 10%–20%of the global scanning localization algorithm.Thus,the proposed algorithm is of great significance for laboratory research focused on locating rupture damages sustained by large-sized rock masses or test blocks.

Bilateral meibomian gland morphological alterations in unilateral herpes simplex keratitis based on artificial intelligence analysis

AIM:To explore whether unilateral herpes simplex keratitis(HSK)can cause morphological changes of bilateral meibomian glands(MGs)based on artificial intelligence(AI)analytical system.METHODS:In the retrospective study,29 patients with unilateral HSK and 29 participants matched in terms of age and sex were included as control group.Meibographic images of the upper eyelid using Keratograph 5M and assessed ocular surface parameters including tear meniscus height and tear break-up time.MG density and vagueness values were automatically analyzed and calculated using an AI analytical system.We compared the differences between the affected and the contralateral unaffected eyes in HSK patients,and the normal control eyes.We employed either the paired t-test or the Wilcoxon signed-rank test to compare significant difference between the affected and unaffected eyes in HSK patients or between the HSK group and control group.RESULTS:The MG density was 0.19±0.09 in the HSKaffected eye and 0.18±0.07 in contralateral unaffected eye,which had no significant difference(P=0.616).The MG density between the affected eye with HSK and the normal control group was statistically significant(P=0.028).There was a significant difference in MG density between the contralateral unaffected eye and the normal control group(P=0.012).However,no significant difference in vagueness value was observed between the eye with HSK and the control group or between HSK eye and contralateral eye.CONCLUSION:The MG density between the HSKaffected eye and the contralateral unaffected eye don’t significantly differ,whereas there is a significant decrease in the HSK group compared to that of the normal participants.Unilateral HSV keratitis may suffer from bilateral changes of MG morphology indicating bilateral dry eye.Therefore,the fellow eye of patients with unilateral HSK should be considered a potential case of MG dysfunction,necessitating early treatment for bilateral dry eye in the clinic.

基于Nelder-Mead单纯形法的改进量子行为粒子群算法

针对PSO算法搜索精度较低,并且在复杂多模态函数优化中,容易陷入局部极值的问题,提出了一种改进的量子行为粒子群优化算法。研究了该算法的基本原理、给出了算法流程并采用正交试验的方式获得了一套通用性较强的算法参数。并以CEC’13的28个测试函数作为测试集,采用Wilcoxon符号秩检验将NM-QPSO算法分别与PSO算法和QPSO算法的误差进行比较试验。试验表明:NM-QPSO算法在统计意义上优于传统的PSO算法和QPSO算法,并且在高维函数优化中,具有显著优势。

基于Simplex算法的高压直流输电分段变速率VDCOL研究

为了改善高压直流系统的故障后的恢复性能,在研究低压限流单元(voltage dependent current order limiter,VDCOL)对直流系统无功功率消耗和电压稳定性影响的基础上,提出了一种分段变速率低压限流单元(piecewise-variable-rate VDCOL,PVR-VDCOL)的控制方法,该方法通过将电压下降或恢复过程划分为几个不同的阶段,并在每个阶段根据电压水平的不同而设置不同的功率恢复速率。推导了控制器初值的计算公式,制定了利用Simplex算法优化控制器参数的流程,并重点分析了分段数目对控制器性能的影响及其确定方法。在PSCAD/EMTDC中对提出的PVR-VDCOL和传统线性VDCOL的控制效果进行了对比仿真,并对不同分段数目下的仿真结果进行了对比分析,仿真结果表明提出的PVR-VDCOL能够有效改善直流系统的恢复性能。

基于Nelder-Mead算法的插装阀AMESim仿真模型优化设计

详细分析二通插装阀的数学模型,建立其流量与进出口压差之间的关系,利用AMESim中的Hydraulic Component Design(HCD)库搭建二通插装阀的仿真模型。根据无导数的Nelder-Mead单纯形优化算法理论,借助Matlab对模型的结构参数进行优化。采用优化结果仿真得到的流量-压降特性曲线与期望特性曲线相当接近,验证了仿真模型的准确性和优化方法的有效性。

甘肃窑街中侏罗世植物化石Coniopteris simplex的原位孢子特征研究

通过大量的实验分析,揭示了Coniopteris simplex的原位孢子特征,甘肃窑街盆地中侏罗世Coniopteris simplex原位孢子的基本特征可以概括为:孢子为四面体形,极面观为三角形至圆三角形,顶角钝圆,三边线内凹;体积小,极面观直径为25～38μm,平均约30μm;三射线平直或微弯,其长度为半径的2/3～3/4,宽度较窄,具唇状边缘。外壁近于光滑,但具多条不规则的褶皱;无周壁;孢子的颜色以黄褐色为主。明确了Cyathidites minor可能是Coniopterissimplex孢子,后者为前者的母体植物。

基于Downhill-Simplex算法的观测数据与作物生长模型同化方法研究

以夏玉米叶面积指数(LAI)、贮存器官干重(WSO)、地上总干重(TAGP)以及土壤水分含量(SM)为结合点,建立了基于Downhill-Simplex算法的作物生长模型WOFOST同化多种地面观测数据的一般方法或流程:开展观测数据与作物生长模型同化方法的正确性验证→利用Downhill-Simplex算法进行WOFOST模型的敏感性分析→选择敏感参数组合→通过优化效果确定待优化参数→利用新的观测数据对待优化参数进行优化,从而实现了观测数据与作物生长模型的同化,提升了模型的模拟能力。同化过程中遴选出的WOFOST模型的待优化参数主要包括比叶面积、最大CO2同化速率、初始地上部总干物重、根深最大日增量和初始土壤有效水等。

基于Nelder-mead单纯形法的改进人工蜂群算法研究

针对现有的人工蜂群算法(Artificial Bee Colony,ABC)在进化速度和求解质量方面难以兼顾的缺点,提出一种基于Nelder-mead单纯形法的改进人工蜂群算法(Nelder-Mead Simplex Method based Improved Artificial Bee Colony,NMSM-IABC)。在迭代过程中,该算法周期性地将单纯形算子得到的最优个体迁移到人工蜂群算法的蜂群中,或将蜂群中的最优蜜源信息迁移到Nelder-mead单纯形算法中。旨在ABC借助NM-SM提高局部搜索能力,NM-SM借助ABC跳出局部最优点,达到两者协同搜索。再者,为了进一步加快收敛速度,在ABC中采用一种改进的跟随蜂搜索策略,并对产生侦察蜂的关键参数进行灵敏度分析。最后,通过6个典型的多维测试函数对算法进行仿真测试。结果表明:提出的算法有效地避免了陷入局部最优,提高全局搜索能力和搜索精度,有较快的收敛速度,是一种较好的协同搜索算法。

基于Simplex算法的VSC-HVDC控制参数优化

以电压源换流器高压直流输电(VSC-HVDC)的稳态模型为基础,根据VSC功率传输方程的直角坐标形式,采用逆系统方法和PI控制相结合的方法设计了VSC的有功功率和无功功率独立调节的VSC-HVDC控制系统。基于非线性单纯形Simplex算法,对PI控制参数进行优化。PSCAD/EMTDC下的仿真结果表明,通过参数优化,VSC-HVDC控制目标的最大误差百分比低于1.5%;同时也证明所设计的控制系统能独立控制有功功率和无功功率。

A novel particle swarm optimizer without velocity:Simplex-PSO

A simplex particle swarm optimization(simplex-PSO) derived from the Nelder-Mead simplex method was proposed to optimize the high dimensionality functions.In simplex-PSO,the velocity term was abandoned and its reference objectives were the best particle and the centroid of all particles except the best particle.The convergence theorems of linear time-varying discrete system proved that simplex-PSO is of consistent asymptotic convergence.In order to reduce the probability of trapping into a local optimal value,an extremum mutation was introduced into simplex-PSO and simplex-PSO-t(simplex-PSO with turbulence) was devised.Several experiments were carried out to verify the validity of simplex-PSO and simplex-PSO-t,and the experimental results confirmed the conclusions:(1) simplex-PSO-t can optimize high-dimension functions with 200-dimensionality;(2) compared PSO with chaos PSO(CPSO),the best optimum index increases by a factor of 1×102-1×104.

BOTDR系统应用Simplex编码的信号快速处理方法

本文提出了一种将Simplex编码调制去噪技术与叠加平均去噪技术相结合的方法—S叠加算法。该方法是将S编码与叠加平均算法混合使用,在去噪效果相同的情况下,S叠加算法可以大幅度减少叠加次数,缩短了信号处理时间,同时,降低了随着Simplex编码长度的增加对信号解调带来的困难;对分布式光纤传感系统进行数学建模,并在此模型的基础上进行了数值分析,数据表明,S叠加算法可以大幅度减少信号的处理时间,证明了该方法的正确性和有效性。

基于Simplex算法对马奶啤酒发酵控制优化及品质分析

以马奶啤酒为考察对象,通过控制单因素实验确定四个单因素,判断步长,利用Simplex算法确定马奶啤酒发酵控制参数,结果表明:接种总量8%(干酪乳杆菌∶马克思克鲁维酵母菌=1∶2),发酵温度35℃,发酵时间48 h,蔗糖添加量9%及麦芽汁添加量30%为最佳发酵参数,此条件下的综合p H为3.30±0.02,酒精度为5.4%±0.2%vol,感官评分为79±1.4。感官指标,理化指标及卫生指标均符合《GB 19302-2010发酵乳》国标。马奶啤酒发酵控制的研究为新疆地区马乳及其制品的多样性提供了理论与实践基础。

Nelder-Mead算法中单纯形顶点的仿射独立性检验

本文在文献[1]的基础上,提出Nelder-Mead算法中单纯形顶点仿射独立性的递推检验方法,并对Nelder-Mead单纯调优算法提出改进.该算法保留了Nelder-Mead算法计算简便的优点,并且可保证单纯形各顶点的仿射独立性.文中给出了该算法在线性系统辨识中的应用示例.

基于Nelder-Mead优化的PEMFC三阶RQ等效电路参数辨识研究

精确、有效的燃料电池等效电路有助于分析燃料电池内部工作情况,确保燃料电池系统稳定可靠地运行。针对燃料电池内部工作状态无法使用传感器精确监测的问题,提出了基于Nelder-Mead优化算法的PEMFC 3阶RQ等效电路参数辨识方法 ,根据电池工作原理建立3阶RQ非线性等效电路模型,将模型参数与实际物理意义相结合建立复数域下的实部、虚部加权目标函数,最后在电化学交流阻抗谱实验的基础上进行参数辨识研究。研究结果表明:在相同初始条件下,Nelder-Mead优化算法在精度、速度上与最小二乘法相当,但抗干扰能力更强;与遗传算法相比,精度相当但速度更高,可以用于燃料电池的在线参数辨识。