基于改进堆优化算法求解电动汽车并网动态经济调度

针对堆优化算法HBO处理含电动汽车的动态经济调度问题时存在收敛慢和精度低等问题,提出一种改进的堆优化算法RDHBO。首先,在RDHBO中引入了最优成员区域搜索和双种群交互策略。前者引导最优成员移动到更有希望的区域,提升了算法的收敛精度和收敛速度;后者充分利用被淘汰的劣势个体,丰富了种群的多样性,避免了算法陷入局部最优。然后,将RDHBO应用于四种充电场景的10机组电动汽车动态经济调度问题。仿真结果表明,与已有的代表性方法相比,RDHBO在产生低燃料成本和稳定性方面具有很强的竞争力。最后,对RDHBO的两种改进策略进行了消融实验,验证了两种改进策略的有效性。

差分扰动的堆优化算法

针对堆优化算法(HBO)在解决复杂问题时存在搜索能力不足和搜索效率低等缺陷,提出一种差分扰动的HBO--DDHBO。首先,提出一种随机差分扰动策略更新最优个体的位置,以解决HBO没有对其更新从而导致的搜索效率低的问题;其次,使用一种最优最差差分扰动策略更新最差个体的位置,以强化其搜索能力;然后,采用一种多层差分扰动策略更新一般个体的位置,以强化多层个体之间的信息交流,并提高搜索能力;最后,针对原更新模型在搜索初期获得有效解概率低的问题,提出一种基于维的差分扰动策略更新其他个体的位置。在大量CEC2017复杂函数上的实验结果表明,与HBO相比,DDHBO在96.67%的函数上具有更好的优化性能,更少的平均运行时间(3.4450s);与WRBBO(Worst opposition learning and Random-scaled differential mutation Biogeography-Based Optimization)、DEBBO(Differential Evolution and Biogeography-Based Optimization)和HGWOP(Hybrid PSO and Grey Wolf Optimizer)等先进算法相比,DDHBO也具有显著的优势。

一种基于改进堆优化Dijkstra算法的最小费用最大流算法

通过最短路径算法在残存网络中搜索汇点的最小费用路径是流网络中求解最小费用最大流的主要方式,而Dijkstra算法是最高效的最短路径算法之一。本文通过证明残存网络中不存在负循环,采用改进的堆优化Dijkstra算法在残存网络中搜索最小费用路径以提升算法的效率。实验结果表明,与经典的基于最短路径快速算法的最小费用最大流算法和基于Bellman-Ford算法的最小费用最大流算法对比,本文提出的改进算法具有更高的时间效率。

改进的堆优化算法及其宫颈细胞数据聚类优化

常见的聚类方法存在对初始点敏感和易陷入局部最优的不足,为此提出了一种改进HBO的聚类方法。首先,提出一种改进的HBO,即扰动替换的HBO(disturbance and replacement HBO,DRHBO)克服其不足,即采用一种随机维度值替换策略和高斯扰动机制用于HBO中最优个体的状态更新,解决HBO搜索效率低的问题;提出一种正弦差分扰动策略,以突破当前个体仅与直接领导和同事进行交流的限制,从而增强搜索能力;将随机维度值替换和随机差分扰动策略融合,用于HBO中前期个体状态更新以避免其产生无效解。其次,提出一种DRHBO聚类方法,并运用到宫颈细胞数据集上以获得更好的聚类效果。大量、不同类别和不同样本的宫颈细胞数据集实验结果表明,与HBO及其改进算法和其他最先进算法相比,DRHBO的优化性能更好、稳定性更强且效率更高。DRHBO聚类方法更适应于宫颈细胞数据集。

强化信息交流的堆优化算法及其机器人路径规划

堆优化算法(HBO)是最近提出的一种新型和优秀的智能优化算法,但需完善并拓展其应用领域。针对HBO信息交流不足导致其搜索能力不强的缺陷,提出了一种改进的HBO,即强化信息交流的HBO(information interchange strengthened HBO,ISHBO)。首先,采用一种自身交流机制用于HBO中最高领导者的状态更新,解决因它无直接领导和同事无法参与搜索过程从而导致搜索效率低下的问题;其次,提出了一种精英反向交流策略和一种精英引导的自由交流策略,以突破当前个体仅与直接领导及同事交流的限制;最后,将以上两种交流策略有机融合用于HBO随机选择的三个个体的状态更新上以提高其搜索能力。大量的、不同类型的和不同维度的函数优化实验结果表明,与HBO以及其他先进算法相比,ISHBO的搜索能力更强。另外,智能优化算法用于机器人路径规划的仿真结果也表明,ISHBO在解决实际优化问题上具有更强的竞争性。

中国实验快堆平衡循环不倒料优化初步研究

中国实验快堆现有的平衡循环换料方案由专家经验得到。本工作采用自主开发的快堆堆芯燃料管理优化程序,对中国实验快堆平衡循环进行不倒料优化计算,通过与现有的平衡循环换料方案计算结果比较,对快堆堆芯燃料管理程序进行验证,说明现有的平衡循环换料方案是符合设计限值的较优方案,并给出优化的平衡循环不倒料换料方案。本工作结果表明,自主开发的快堆堆芯燃料管理优化程序可成功用于中国实验快堆的平衡循环不倒料优化。

响应面法优化纤维堆囊菌SoF5-76产埃博霉素B发酵培养基

以纤维堆囊菌SOF5-76为试验菌株,用响应面分析法对其产埃博霉素B的培养基进行优化,以提高埃博霉素B的产量。在单因素试验的基础上,利用Plackett-Burman筛选出对埃博霉素B产量有显著影响的3个因素为马铃薯淀粉、脱脂奶粉和无水氯化钙,在此基础上通过最陡爬坡试验逼近最佳响应面区域;再运用Box-Behnken试验设计和响应面分析法进行回归分析,确定重要因素的最优浓度。得到最佳发酵培养基为:马铃薯淀粉3.9 g/L、脱脂奶粉2.2 g/L、无水氯化钙1.3 g/L、葡萄糖1 g/L,豆饼粉1.5g/L,七水硫酸镁2.5 g/L,EDTA-Fe3+3 mL/L,微量元素(TE)0.5 mL/L,VB121 mL/L。在此最优条件下发酵埃博霉素B的产量为29.95 mg/L,与模型预测值接近,发酵产量比优化前提高了1.1倍。

优化的A＊算法在航迹规划上的应用

针对无人机航线规划问题,基于A-Star启发式搜索算法,提出一种通过二叉堆优化的新的航迹规划算法.相对于以往的航迹规划算法而言,此算法重新规划了威胁模型,并且根据飞行器自身性能的限制,重新设计了成本函数和启发函数,并对A-Star算法进行了优化,同时对最终结果进行了平滑处理.与原算法相比,其提高了搜索效率,提高了搜索速度,减少了内存消耗,并且更加具有现实可利用的意义.实验结果也显示这种算法可以使飞行器在性能允许的范围以内,绕过威胁区域,快速地寻找到到达目的点的最佳路径.

基于深度学习的声纹识别系统优化研究

聚焦于基于深度学习的声纹识别系统优化方法,重点探讨了堆叠循环神经网络(Rerrent Neural Network,RNN)模型在声纹识别中的应用。首先介绍了基于深度学习的声纹识别系统的基本架构,其次引入堆叠RNN模型作为优化方法,最后在MATLAB平台上利用VoxCeleb数据集进行实验验证。实验结果表明,相比于标准RNN模型,堆叠RNN模型在准确率、精确率、召回率及F1值等评价指标上均取得了显著提高,验证了该方法在声纹识别任务中的有效性和优越性。

基于差分扰动HBO算法的巡检机器人路径规划

针对巡检机器人需在电站复杂环境下多任务点遍历巡检路径规划问题,提出一种多策略差分扰动机制改进的堆优化(Heap-Based Optimizer,HBO)算法。对不同个体实行差异化的扰动策略,增强新解的多样性。针对巡检任务起终点一致的特性,使用交错同步搜索策略,双种群各执行一半搜索任务,降低了搜索时间,提高了收敛速度。环境建模引入了无限邻域机制,可搜索邻域个数变为连续任意方向,减少了转折点数,使用四阶最小Snap平滑算法平滑整体路径,增大路径平顺度,满足机器人动力学特性。经仿真对比,改进后HBO算法在多任务点遍历巡检任务中性能提升明显,相对于改进前HBO算法和对比的混合粒子群灰狼(Hybrid Gray Wolf Optimizer with Particle Swarm Optimization,HGWOP)算法的步数最低,路径最平滑,最优路径分别缩短了11.1%和20.0%,平均迭代次数分别降低了25.78%和10.53%。

滚动接触式连续体机械臂运动学分析与堆叠构型优化

滚动接触式连续体机械臂具有良好的柔顺性和灵活性,能够更好地执行非结构化狭窄环境中检修和探测等任务,但由于滚动接触单元堆叠构型的不同,可能造成机械臂在运动时存在整体弯曲角和末端姿态角不一致的现象,从而影响机械臂的可达性。针对上述问题,设计滚动接触式关节单元,提出三种不同堆叠构型的连续体机械臂,通过坐标变换方法建立机械臂的运动学模型;基于机械臂末端弯曲角和姿态角的数学模型,对比分析三种堆叠构型机械臂弯曲角和姿态角的偏差曲线以及末端操作空间。在此基础上,开展三种堆叠构型机械臂在狭小弯曲管道内运动的实验,结果证实对称堆叠构型的机械臂在狭窄弯曲路径内具有完整的视野和最佳的通过性。上述研究为滚动接触式连续体机器人在微创手术、空间探测等非结构化复杂环境下的精确控制提供了技术支撑。

一种新的露天配矿开采几何约束模型及其应用

提出了一种露天矿配矿几何约束模型——圆周几何约束模型(CGCM)用于求解露天矿配矿问题(OMOMP)。采用图论的方法将爆堆块段模型抽象为节点与边的集合,用有向边连接节点与其圆周约束范围内的其他节点描述开采先后顺序,并详细介绍了CGCM模型的构建方法。基于CGCM的算法已在DIMINE数字矿山系统中实现,并应用于实际露天矿爆堆开采优化工程中。应用表明,CGCM能够很好地描述爆堆开采过程中各矿块间的开采先后顺序及其开采几何约束,适应于复杂几何约束条件下的OMOMP,结果准确,为解决实际OMOMP提供了一种新的有效方法。

A*算法的改进及其在移动端游戏中的运用

本文依据A*算法的特点分析了影响A*效率的因素,通过分析二叉堆的特点并且结合实际应用情况,在A*算法中引入二叉堆算法,以此达到提高A*算法效率的目的。实验结果最后证明了基于二叉堆的A*算法比初始的A*具有更快的执行速度。

Modeling and optimization of industrial Fischer–Tropsch synthesis with the slurry bubble column reactor and iron-based catalyst

To optimize industrial Fischer-Tropsch （IT） synthesis with the slurry bubble column reactor （SBCR） and iron- based catalyst, a comprehensive process model for IT synthesis that includes a detailed SBCR model, gas liquid separation model, simplified CO2 removal model and tail gas cycle model was developed. An effective iteration algorithm was proposed to solve this process model, and the model was validated by industrial demonstration experiments data （SBCR with 5.8 m diameter and 30 m height）, with a maximum relative error 〈 10% for predicting the SBCR performances. Subsequently, the proposed model was adopted to optimize the industrial SBCR performances simultaneously considering process and reactor parameters variations. The results show that C5＋yield increases as catalyst loading increases within 10-70 ton and syngas H2/CO value decreases within 1.3-1.6, but it doesn＇t increase obviously when the catalyst loading exceeds 45 ton （about 15 wt% concentration）. Higher catalyst loading will result in higher difficulty for wax/catalyst separation and higher catalyst cost. There- fore, the catalyst loading （45 ton） is recommended for the industrial demonstration SBCR operation at syngas H2/ CO = 1.3, and the C5 ＋ yield is about 402 ton＂ per day, which has an about 16% increase than the industrial dem- onstration run result.

Parameter optimization for tungsten carbide/Ni-based composite coating deposited by plasma transferred arc hardfacing

Ni-based composite coatings with a high content of tungsten carbides(Stelcar65composite coatings)were synthesized by plasma transferred arc(PTA)hardfacing.The welding parameters of Stelcar65composite coatings were optimized by orthogonal tests.The PTA welding parameters including welding current,powder feed rate and welding speed have significant influence on the tungsten carbide degradation.The values for the optimum welding current,powder feed rate and welding speed were determined to be100A,25g/min and40mm/min,respectively.The produced WC/Ni-based composite coatings were crack-and degradation-free.The microstructure of deposited layers,as well as the microstructure and microhardness of the optimal coating were further analyzed.

Effective Removal of Air Pollutions by the Electrical Discharge

The objectives of this study were to understand the effects of different electrical and reactor＇s parameters on the removal efficiency of air pollution and to optimize the parameters to achieve the highest removal efficiency. The surface discharge was applied to dielectric barrier discharge reactors and the voltage, current, frequency and the electrode shape were employed to the reactor as main variables. In general, it has been known that the removal efficiency is decided by the applied power, which is calculated by multiplication of the applied voltage and current. However, the removal efficiency was significantly changed by the composition ratio of the applied voltage and current even though the experimental conditions were not changed with the same applied power. It means that the removal effectiveness should be affected not by the discharge power but by the applied voltage and current separately. From the experimental and statistical analysis, the discharge current was the most important factor to control the removal efficiency regardless of different types of the reactors and the frequency is not the direct function to control the removal rate.

基于波多黎各飓风灾难的无人机救援规划研究

2017年,波多黎各岛遭受了最严重的飓风,基于这种情况,非政府组织试图开发相应的无人机灾害应对系统。我们将对此展开研究,通过退火算法、遗传算法、蚁群算法、2D/3D空间堆箱优化模型等算法的整合,我们给出能够在灾区救援任务中最大化救援效率的方案。并综合了给方面的影响因素,给出我们的模型救援规划方案的可行性。在最终,我们得出针对于无人机的选择问题,最佳利用率为99.047%。针对灾难响应系统最佳位置的选择问题,灾难响应系统经纬度分别为(-65.74°,18.30°),(-66.13°,18.41°)和(-66.73°,18.47°)。

A sensitivity analysis and multi-objective optimization to enhance ethylene production by oxidative dehydrogenation of ethane in a membrane-assisted reactor

Owing to the importance of process intensification in the natural gas associated processes, the present contribution aims to investigate the production of an important natural gas downstream product in an improved system.Accordingly, a membrane-assisted reactor for the oxidative dehydrogenation of ethane is presented. The presented system includes a membrane for axial oxygen dosing into the reaction side. Such a strategy would lead to optimum oxygen distribution along the reactor length and prevention of hot spot formation as well. A feasibility study is conducted by developing a validated mathematical model composed of mass and energy balance equations. The effects of various operating variables are investigated by a rigorous sensitivity analysis.Then, by applying the genetic algorithm, a multi-objective optimization procedure is implemented to obtain the optimum operating condition. Considerable increase in the ethane conversion and ethylene yield are the advancements of membrane-assisted oxidative dehydrogenation reactor working under the optimum condition.More than 30% increase in the ethane conversion is obtained. Furthermore, the ethylene yield is enhanced up to 0.45.

The Optimization of Decontamination Methods Selected for Contaminated Areas Used in Decommissioning of CANDU-6 NPP

The objective of this paper is to provide information for nuclear field specialists and decision makers on opportunities for minimizing radioactive wastes arising from the decontamination ＆ decommissioning of a CANDU-6 NPP. The paper proposes a method for selection of appropriate decontamination techniques which may be used at Cernavoda NPP decommissioning, equipped with CANDU heavy water reactors, based on the simulation with ProVision software. The paper has a singular focus on physical decontamination techniques and does not address other aspects of decommissioning. The physical decontamination techniques which are the best for certain areas of the CANDU-6 NPP from point of view of effectiveness and cost were determined. A unit cost for each decontamination technique was determined by relating the total cost to the average surface to be decontaminated. In conclusion, physical techniques will apply more efficiently to concrete surfaces. The chemical decontamination methods, in comparison with physical decontamination methods are. more suitable for non-porous surfaces respectively metal and are less recommended for concrete surfaces.

Modeling and optimization of the cyclic steady state operation of adsorptive reactors

Adsorptive reactors(AR),in which an adsorptive functionality is incorporated into the catalytic reactors,offer enhanced performance over their conventional counterparts due to the effective manipulation of concentration and temperature profiles.The operation of these attractive reactors is,however,inherently unsteady state,complicating the design and operation of such sorption-enhanced processes.In order to capture,comprehend and capitalize upon the rich dynamic texture of adsorptive reactors,it is necessary to employ cyclic steady state algorithms describing the entire reaction-adsorption/desorption cycle.The stability of this cyclic steady state is of great importance for the design and operation of adsorptive reactors.In this paper,the cyclic steady state of previously proposed novel adsorptive reactor designs has been calculated and then optimized to give maximum space–time yields.The results obtained revealed unambiguously that an improvement potential of up to multifold level could be attained under the optimized cyclic steady state conditions.This additional improvement resulted from the reduction of the regeneration time well below the reaction-adsorption time,which means,in turn,more space–time yield.