求解全局优化问题的改进灰狼算法

灰狼算法是一种高效的优化技术,但其在一些问题上存在求解精度不高、收敛速度较慢和易于陷入局部最优的缺点.因此,提出了一种改进的灰狼优化算法(MGWO).该算法引入了3种改进策略:平衡算法全局搜索性和局部开发性的指数规律收敛因子调整策略、提高算法求解精度的自适应位置更新策略和修订动态权重策略.通过两组在10个基准测试函数上...     

基于随机收敛因子和差分变异的改进灰狼优化算法

针对基本灰狼优化算法在求解高维复杂优化问题时存在解精度低和易陷入局部最优的缺点,提出一种改进的灰狼优化算法。受粒子群优化算法的启发,设计一种收敛因子a随机动态调整策略以协调算法的全局勘探和局部开采能力;为了增强种群多样性和降低算法陷入局部最优的概率,受差分进化算法的启发,构建一种随机差分变异策略产生新个体。选取6个标准测试函数进行仿真实验。结果表明:在相同的适应度函数评价次数条件下,此算法在求解精度和收敛速度上均优于其他算法。     

求解函数优化和特征选择的改进金豺狼优化算法

针对基本金豺狼优化算法(Golden Jackal Optimization, GJO)在解决高维优化问题时存在计算精度低、开发能力弱、容易陷入局部最优的缺点,提出一种改进GJO算法(I-GJO)。在改进算法中,设计一种基于正弦函数的非线性能量因子替代原随机递减能量因子,以平衡算法在搜索过程中的全局探索和局部开发能力。在算法迭代后期引入翻筋斗学习策略,从而扩大群体搜索范围和改善解的精度。为了验证I-GJO算法的有效性,选取6个基准函数优化问题进行数值实验,并与灰狼优化、海鸥优化算法和基本GJO算法比较。结果表明,I-GJO获得较高的精度和较快的收敛速度。最后利用I-GJO算法求解特征选择问题,对16个基准数据集的数值结果显示,改进算法能有效去除冗余特征和提高分类精度。     

嵌入遗传算子的改进灰狼优化算法

针对基本灰狼优化算法(GWO)存在求解精度低、后期收敛速度慢和易陷入局部最优的问题,提出一种基于遗传算子的改进灰狼优化(IGWO)算法用于求解无约束优化问题.该算法首先利用佳点集理论初始化种群,为算法全局搜索多样性奠定基础;然后在决策层以外的群体中随机选取三个个体与决策层个体执行算术交叉操作,引导群体向决策层区域移动以增强算法局部搜索能力和加快算法收敛速度;最后,对决策层个体进行多样性变异操作以避免算法陷入局部最优.采用几个标准测试函数进行仿真实验:当维数较高(D=30或D=50)时,IGWO算法的总体性能上均优于基本GWO算法.实验结果表明IGWO算法在收敛速度和求解精度指标上明显优于对比算法.     

基于改进蝗虫优化算法的特征选择方法

针对传统蝗虫优化算法寻优精度低和收敛速度慢的问题,提出一种基于非线性调整策略的改进蝗虫优化算法.首先,利用非线性参数代替传统蝗虫算法中的递减系数,协调算法全局探索和局部开发能力,加快算法收敛速度;其次,引入自适应权重系数改变蝗虫位置更新方式,提高算法寻优精度;然后,结合limit阈值思想,利用非线性参数对种群中部分个体进行扰动,避免算法陷入局部最优.通过六个基准测试函数的仿真结果表明,改进算法的收敛速度和寻优精度均有明显提高.最后将改进算法应用于特征选择问题中,通过在七个数据集上的实验结果表明,基于改进算法的特征选择方法能够有效地进行特征选择,提高分类准确率.     

基于莱维飞行和布朗运动的鲸鱼优化算法

针对鲸鱼优化算法存在的求解精度不高、收敛速度较慢和易陷入局部最优等缺点，设计了一种基于莱维飞行和布朗运动的鲸鱼优化算法.先利用莱维飞行方法对鲸鱼种群进行初始化，以增加初始种群的多样性；再根据布朗运动原理对鲸鱼种群的位置更新进行随机扰动，以避免算法提前陷入局部最优.将改进的鲸鱼优化算法与鲸鱼优化算法、粒子群优化算法、遗传算法和蚁群优化算法在7个不同的基准测试函数上进行对比测试，结果表明，改进的鲸鱼优化算法在求解精度、收敛速度方面均优于其他4种算法.对初始化阶段采用莱维飞行策略的改进鲸鱼优化算法与采用随机搜索策略的鲸鱼优化算法的初始解探索范围进行仿真对比实验，结果表明，改进鲸鱼优化算法一定程度上可以避免陷入局部最优.     

改进收敛因子和变异策略的灰狼优化算法

针对灰狼优化算法(GWO)在求解复杂优化问题时容易出现收敛速度慢和早熟收敛等缺点,提出了一种改进收敛因子和变异策略的新型灰狼优化算法(C MGWO).为了平衡GWO算法的全局探索能力与局部开发能力,设计了一种基于反余弦函数变化策略的收敛因子;为了进一步提高算法跳出局部最优解的能力,提出了一种新的位置变异策略.仿真实验结...     

采用改进灰狼算法的移动机器人路径规划

针对传统灰狼算法求解移动机器人路径规划问题收敛效率低且易陷入局部极值的缺陷,提出一种基于Tent混沌映射初始化种群的改进灰狼(TGWO)算法,并将其运用于解决移动机器人全局路径规划问题。基于Tent混沌映射初始化灰狼种群,以丰富种群多样性,提高收敛速度;提出指数型收敛因子改进策略,以更好地拟合灰狼实际搜索过程,并通过改进控制参数H以平衡算法的全局勘探与局部开发能力;融合动态权重因子和适应度比例系数,更新灰狼个体的位置信息,以提高灰狼个体自主搜索能力,避免算法陷入局部最优。为验证算法有效性,选用8个标准测试函数以及3组复杂度不同的栅格环境,先后开展了TGWO算法与传统GWO算法、3种典型改进灰狼算法的测试对比实验以及全局路径规划仿真对比实验。结果表明：TGWO算法在单峰、多峰函数上均有较好的收敛性、较高的寻优精度;仿真场景下,相较于传统GWO算法,TGWO算法所提的各个改进策略均能有效提升路径寻优性能;TGWO算法的平均路径长度、路径长度标准差、平均迭代次数、平均寻优耗时这4项指标均优于对比算法;TGWO算法路径寻优的优越性和鲁棒性得到了验证。     

基于自适应头狼的灰狼优化算法

灰狼优化算法一种模拟灰狼捕食行为的元启发式优化算法.由于灰狼算法在种群迭代更新中始终靠近最优解,所以易陷入局部最优.提出了一种基于自适应头狼的灰狼优化算法,并在个体迭代更新中选择合适的头狼个数进行个体更新,这使得算法能够平衡开发和勘探能力.通过对20个基准函数优化问题的仿真实验表明,改进后的算法与原始灰狼优化算法相比,其全局搜索能力有显著提高.     

动态透镜成像学习人工兔优化算法及应用

针对基本人工兔优化(Artificial Rabbits Optimization, ARO)算法在解决复杂优化问题时存在收敛慢、精度不高和容易陷入局部最优等缺陷,本文提出一种改进的ARO算法(记为IARO算法)。IARO算法中的基于正弦函数的非线性递减能量因子能够帮助算法实现从探索阶段到开发阶段的良好过渡,从而提高算法的收敛速度和解的质量。此外,为了提高算法跳出局部最优的概率,IARO算法引入了一种动态透镜成像学习策略。为了证明IARO算法的优越性,首先选取了6个基准测试函数进行数值实验,然后用其求解2个工程设计优化问题和1个包括15个数据集的特征选择问题,并与灰狼优化(GWO)算法、鲸鱼优化算法(WOA)、正弦余弦算法(SCA)和基本ARO算法进行对比。结果表明,IARO算法有着比其他对比算法更优越的性能。     

Markedness and its Interpretation in Language Use

Language markedness is a common phenomenon in languages, and is reflected from hearing, vision and sense, i.e. the variation in the three aspects such as phonology, morphology and semantics. This paper focuses on the interpretation of markedness in language use following the three perspectives, i.e. pragmatic interpretation, psychological interpretation and cognitive interpretation, with an aim to define the function of markedness.     

Lower Paleozoic oil relationships within Williston Basin, Canada

The Williston Basin is a significant petroleum province, containing oil production zones that include the Middle Cambrian to Lower Ordovician, Upper Ordovician, Middle Devonian, Upper Devonian and Mississippian and within the Jurassic and Cretaceous. The oils of the Williston Basin exhibit a wide range of geochemical characteristics defined as "oil families", although the geochemical signature of the Cambrian Deadwood Formation and Lower Ordovician Winnipeg reservoired oils does not match any "oil family". Despite their close stratigraphic proximity, it is evident that the oils of the Lower Palaeozoic within the Williston Basin are distinct. This suggests the presence of a new "oil family" within the Williston Basin. Diagnostic geochemical signatures occur in the gasoline range chromatograms, within saturate fraction gas chromatograms and biomarker fingerprints. However, some of the established criteria and cross-plots that are currently used to segregate oils into distinct genetic families within the basin do not always meet with success, particularly when applied to the Lower Palaeozoic oils of the Deadwood and Winnipeg Formation.     

An Analysis of Catherine＇s Character——Wuthering Heights

Wuthering Heights, Emily Bronte＇s only novel, was published in December of 1847 under the pseudonym Ellis Bell. The book did not gain immediate success, but it is now thought one of the finest novels in the English language. Catherine is the key character of this masterpiece, because everybody and everything center on her though she had a short life. We can understand this masterpiece better if we know Catherine well.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

Features of Women's language

Language is a means of verbal communication. People use language to communicate with each other. In the society, no two speakers are exactly alike in the way of speaking. Some differences are due to age, gender, statue and personality. Above all, gender is one of the obvious reasons. The writer of this paper tries to describe the features of women＇s language from these perspectives： pronunciation, intonation, diction, subjects, grammar and discourse. From the discussion of the features of women＇s language, more attention should be paid to language use in social context. What＇s more, the linguistic phenomena in a speaking community can be understood more thoroughly.     

Design and analysis of generic LBS application developing platform

Location based services is promising due to its novel working style and contents.A software platform is proposed to provide application programs of typical location based services and support new applications developing efficiently. The analysis shows that this scheme is easy implemented, low cost and adapt to all kinds of mobile nework system.     

橡胶颗粒沥青混合料低温抗裂性试验研究

以AC-13级配为基础,将橡胶颗粒代替部分集料掺入混合料中,以低温弯曲试验为评价方法对不同橡胶颗粒掺量下沥青混合料的低温抗裂性进行研究,并引入应变能密度值对混合料的低温抗裂性进行综合评价.试验结果表明:橡胶颗粒沥青混合料试件的破坏微应变均超过2 300,满足冬寒区的技术指标;无论是否掺加橡胶颗粒,随着温度的下降,沥青混合料破坏时的最大弯拉强度增大,弯拉应变降低,劲度模量增大;弯曲应变能密度在胶粒掺量为1%左右时具有较大的弯曲应变能密度值,此时橡胶颗粒沥青混合料具有较好的低温抗裂性.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

低渗透非均质砂岩油藏启动压力梯度研究

理论推导与室内实验相结合,建立了低渗透非均质砂岩油藏启动压力梯度确定方法。首先借助油藏流场与电场相似的原理,推导了非均质砂岩油藏启动压力梯度计算公式。其次基于稳定流实验方法,建立了非均质砂岩油藏启动压力梯度测试方法。结果表明:低渗透非均质砂岩油藏的启动压力梯度确定遵循两个等效原则。平面非均质油藏的启动压力梯度等于各级渗透率段的启动压力梯度关于长度的加权平均;纵向非均质油藏的启动压力梯度等于各渗透率层的启动压力梯度关于渗透率与渗流面积乘积的加权平均。研究成果可用于有效指导低渗透非均质砂岩油藏的合理井距确定,促进该类油藏的高效开发。     

Quantitative trait loci （QTLs） for quality traits related to protein and starch in wheat

Quality traits in wheat （Triticum aestirum L.） were studied by quantitative trait locus （QTL） analysis in a recombinant inbred line （RIL） population, a set of 131 lines derived from Chuan 35050 × Shannong 483 cross （ChSh）. Grains from RILs were assayed for 21 quality traits related to protein and starch. A total of 35 putative QTLs for 19 traits with a single QTL explaining 7.99-40.52% of phenotypic variations were detected on 10 chromosomes, 1D, 2A, 2D, 3B, 3D, 5A, 6A, 6B, 6D, and 7B. The additive effects of 30 QTLs were positive, contributed by Chuan 35050, the remaining 5 QTLs were negative with the additive effect contributed by Shannong 483. For protein traits, 15 QTLs were obtained and most of them were located on chromosomes 1 D, 3B and 6D, while 20 QTLs for starch traits were detected and most of them were located on chromosomes 3D, 6B and 7B. Only 7 QTLs for protein and starch traits were co-located in three regions on chromosomes 1D, 2A and 2D. These protein and starch trait QTLs showed a distinct distribution pattern in certain regions and chromosomes. Twenty-two QTLs were clustered in 6 regions of 5 chromosomes. Two QTL clusters for protein traits were located on chromosomes 1D and 3B, respectively, three clusters for starch traits on chromosomes 3D, 6B and 7B, and one cluster including protein and starch traits on chromosome 1D.