An Improved Honey Badger Algorithm through Fusing Multi-Strategies

TheHoney Badger Algorithm(HBA)is a novelmeta-heuristic algorithm proposed recently inspired by the foraging behavior of honey badgers.The dynamic search behavior of honey badgers with sniffing and wandering is divided into exploration and exploitation in HBA,which has been applied in photovoltaic systems and optimization problems effectively.However,HBA tends to suffer from the local optimum and low convergence.To alleviate these challenges,an improved HBA(IHBA)through fusing multi-strategies is presented in the paper.It introduces Tent chaotic mapping and composite mutation factors to HBA,meanwhile,the random control parameter is improved,moreover,a diversified updating strategy of position is put forward to enhance the advantage between exploration and exploitation.IHBA is compared with 7 meta-heuristic algorithms in 10 benchmark functions and 5 engineering problems.The Wilcoxon Rank-sum Test,Friedman Test and Mann-WhitneyU Test are conducted after emulation.The results indicate the competitiveness and merits of the IHBA,which has better solution quality and convergence traits.The source code is currently available from:https://github.com/zhaotao789/IHBA.

An Efficient Honey Badger Optimization Based Solar MPPT Under Partial Shading Conditions

Due to the enormous utilization of solar energy,the photovoltaic(PV)system is used.The PV system is functioned based on a maximum power point(MPP).Due to the climatic change,the Partial shading conditions have occurred under non-uniform irradiance conditions.In the PV system,the global maximum power point(GMPP)is complex to track in the P-V curve due to the Partial shad-ing.Therefore,several tracking processes are performed using various methods like perturb and observe(P&O),hill climbing(HC),incremental conductance(INC),Fuzzy Logic,Whale Optimization Algorithm(WOA),Grey Wolf Optimi-zation(GWO)and Flying Squirrel Search Optimization(FSSO)etc.Though,the MPPT is not so efficient when the partial shading is increased.To increase the efficiency and convergences in MMPT,the Honey Badger optimization(HBO)algorithm is presented.This HBO model is motivated by the excellent foraging behaviour of honey badgers.This HBO model is used to achieve the best solution in GMPP tracking and speed convergence.The HBO methodology is also com-pared with prior P&O,WOA and FSSO methods using MATLAB.Therefore,the experiment shows that the HBO method is performed a higher tracking than all prior methods.

Hybrid Chameleon and Honey Badger Optimization Algorithm for QoS-Based Cloud Service Composition Problem

Cloud computing facilitates the great potentiality of storing and managing remote access to services in terms of software as a service(SaaS).Several organizations have moved towards outsourcing over the cloud to reduce the burden on local resources.In this context,the metaheuristic optimization method is determined to be highly suitable for selecting appropriate services that comply with the requirements of the client’s requests,as the services stored over the cloud are too complex and scalable.To achieve better service composition,the parameters of Quality of Service(QoS)related to each service considered to be the best resource need to be selected and optimized for attaining potential services over the cloud.Thus,the cloud service composition needs to concentrate on the selection and integration of services over the cloud to satisfy the client’s requests.In this paper,a Hybrid Chameleon and Honey Badger Optimization Algorithm(HCHBOA)-based cloud service composition scheme is presented for achieving efficient services with satisfying the requirements ofQoS over the cloud.This proposed HCHBOA integrated the merits of the Chameleon Search Algorithm(CSA)and Honey Badger Optimization Algorithm(HBOA)for balancing the tradeoff between the rate of exploration and exploitation.It specifically used HBOA for tuning the parameters of CSA automatically so that CSA could adapt its performance depending on its incorporated tuning factors.The experimental results of the proposed HCHBOA with experimental datasets exhibited its predominance by improving the response time by 21.38%,availability by 20.93%and reliability by 19.31%with a minimized execution time of 23.18%,compared to the baseline cloud service composition schemes used for investigation.

Emerging New Phylogenetic Groups of Rabies Virus in Chinese Ferret Badgers

Chinese ferret badger(FB)-transmitted rabies is a serious threat to public health in southeast China. Although mostly associated with dogs, the rabies virus(RABV) presents genetic diversity and has a significantly wide host range in China. Instead of the dog-and wildlife-associated China ⅠI lineage in the past decades, the China Ⅰ lineage has become the main epidemic group hosted and transmitted by dogs. In this study, four new lineages, including 43 RABVs from FBs, have been classified within the dog-dominated China Ⅰ lineage since 2014. FBRABVs have been previously categorized in the China Ⅱ lineage. Moreover, FB-hosted viruses seem to have become the main independent FB-associated clade in the phylogenetic tree. This claim suggests that the increasing genetic diversity of RABVs in FBs is a result of the selective pressure from coexisting dog rabies. FB transmission has become complicated and serious with the coexistence of dog rabies. Therefore, apart from targeting FB rabies, priority should be provided by the appropriate state agencies to perform mass immunization of dog against rabies.

Badger和Lummus苯乙烯工艺能耗对比分析

从代表当今苯乙烯主流技术的两家专利商贝杰尔和鲁姆斯技术的能耗对比分析入手,对这两种生产苯乙烯产品的工艺技术特点进行论述,从能耗角度分析为潜在的苯乙烯生产商选择工艺路线提供技术参考。装置物耗由于采用不同厂家的催化剂会出现较大差别,在此不进行论述。

韩国LG化学公司在大山建采用Badger技术生产异丙苯和双酚A新装置

石油化学新报（日），2011（4569）：5 韩国LG化学公司计划采用美国NBadgerLicensing公司的生产技术（Badger技术）在大山工厂建200kt／a的异丙苯装置和120kt／a的双酚A（BPA）装置。预计这两套装置将在2012年内建成并投产。LG化学公司目前在丽水工厂运转的一套异丙苯装置和两套BPA装置也都采用的是Badger技术。

美国Badger湿法磷酸工艺技术的引进与创新

针对引进的Badger湿法磷酸工艺对含磷低、杂质高的云贵混矿原料适应差的状况,重点研究开发了该工艺的磷酸快速萃取结晶技术、浓缩清洗技术、氟吸收技术及废水"零排放"技术,并应用于生产实践,取得很好的效果。

獾和出版社Badger＆Press——“凿壁偷光”

獾和出版社成立于2010年，创办者是国内著名的平面设计师广煜。广煜毕业于中央美院．多年以来一直从事着众多关于书籍和海报类别的设计工作。获奖无数的他在工作之中繁复的思索着一个问题“我们都应该看些什么书”。而这个思索的结果最终变成了一个略微偏重于理想化的现实——獾和出版社（Badger＆Press）。

Badger微型喷砂雕刻套装

用Badger微型喷砂雕刻套装．你可以做出极好的蚀刻玻璃来，该套装包括所有的必备工具．包括：Badger260型号喷砂枪、340克的氧化铝研磨剂、面罩、带有调整器和气体软管的压缩气罐。

Badger将为新日本石油提供异丙苯技术

Badger公司是美国Shaw集团与Exxon Mobil化学公司的合资企业。Badger将为新日本石油公司下属新日本炼油公司的17万t／a异丙笨装置提供专有技术和基础工程服务。该装置将建在新日本炼油公司位于北海道的室兰炼厂内，预计2008年建成投产，异丙苯产品将销往中国及其它亚洲国家，

Badger将为新日本石油公司提供异丙苯技术

Badger公司是美国Shaw集团与ExxonMobil化学公司的合资企业。Badger将为新日本石油公司下属新日本炼油公司的170kt／a异丙苯装置提供专有技术和基础工程服务。该装置将建在新日本炼油公司位于北海道的室兰炼厂内。

羽于狭窄场地的Badger紧凑型起重机

具有马尼泰克斯和Badger两个品牌的CD4415是在明尼苏达州威诺纳市一个4天的展示会上推出的新产品。Badger公司的总经理EdSamara说：“这台新产品的推出扩大了我们为能源行业提供产品的范围。能源行业在过去12—18个月里是马尼泰克斯国际公司增长的强大动力，也是我们对用户需求作出的直接反应。“这台新型起重机的功能包括4轮驱动g134轮转向、多种臂架组合、大视野人机工程学双门司机室、十字开关操纵杆等。它的整机安全性包括台阶和扶手，这是我们目前经销商强烈要求的功能。

Epidemic and Maintenance of Rabies in Chinese Ferret Badgers (Melogale moschata) indicated by Epidemiology and the Molecular Signatures of Rabies Viruses

An epidemic of Chinese ferret badger-associated human rabies was investigated in Wuyuan county, Jiangxi province and rabies viruses isolates from ferret badgers in different districts in Jiangxi and Zhejiang provinces were sequenced with their nucleotides and amino acids and aligned for epidemiological analysis. The results showed that the human rabies in Wuyuan are only associated with ferret badger bites; the rabies virus can be isolated in a high percentage of ferret badgers in the epidemic areas in Jiangxi and Zhejiang provinces; the isolates share the same molecular features in nucleotides and have characteristic amino acid signatures, i.e., 2 sites in the nucleoprotein and 3 sites in the glycoprotein, that are distinct from virus isolates from dogs in the same region. We conclude that rabies in Chinese ferret badgers has formed an independent transmission cycle and ferret badgers may serve as another important rabies reservoir independent of dog rabies in China.

Jaya Honey Badger optimization- based deep neuro-fuzzy network structure for detection of (SARS- CoV) Covid-19 disease by using respiratory sound signals

Purpose-The Covid 19 prediction process is more indispensable to handle the spread and deathocurred rate because of Covid-19.However early and precise prediction of Covid-19 is more difcult because of different sizes and resolutions of input image Thus these challenges and problems experienced by traditional Covid-19 detection methods are considered as major motivation to develop JHBO-based DNFN.Design/methodology/approach-The major contribution of this research is to desigm an ffectualCovid-19 detection model using devised JHBObased DNFN,Here,the audio signal is considered as input for detecting Covid-19.The Gaussian filter is applied to input signal for removing the noises and then feature extraction is performed.The substantial features,like spectral rlloff.spectral bandwidth,Mel-frequency,cepstral coefficients (MFCC),spectral flatness,zero crossing rate,spectral centroid,mean square energy and spectral contract are extracted for further processing.Finally,DNFN is applied for detecting Covid 19 and the deep leaning model is trained by designed JHBO algorithm.Accordingly.the developed JHBO method is newly desigmed by inoorporating Honey Badger optimization Algorithm(HBA)and.Jaya algorithm.Findings-The performance of proposed hybrid optimization-based deep learming algorithm is estimated by meansof twoperformance metrics,namely testing accuracy,sensitivity and speificity of 09176,09218 and 09219.Research limitations/implications-The JHBO-based DNFN approach is developed for Covid-19 detection.The developed approach can be extended by including other hybrid optimization algorithms as well as other features can be extracted for further improving the detection performance.Practical implications-The proposed Covid-19 detection method is useful in various applications,like medical and so on,Originality/value-Developed JHBO-enabled DNFN for Covid-19 detection:An effective Covid-19 detection technique is introduced based on hybrid optimization-driven deep learning model The DNFN is used for detecting Covid-19,which classifies the feature vector as Covid-19 or non-Covid 19.Moreover,the DNFN is trained by devised JHB0 approach,which is introduced by combining HBA and Jaya algorithm.

双种群协同演化的改进蜜獾算法

针对蜜獾算法存在的局部搜索能力不足、易陷入局部最优值等问题,提出一种双种群协同演化的改进蜜獾算法。在初始化阶段采用Cubic混沌映射对种群进行初始化,扩大可行解的搜索范围并提高种群的分布均衡性;引入融合黏菌算法和蜜獾算法的双种群优化机制,依托两者的更新优势协同推进个体逼近目标位置,进而提高整个算法的搜索效率和优化性能;采用柯西随机反向扰动策略对蜜獾种群最优位置进行扰动,以提高算法跳出局部最优的能力。通过评估单一策略的改进有效性实验、与七种对比算法的不同高维实验以及Wilcoxon秩和检验,结果表明该算法具有良好的收敛精度和求解速度。最后将改进算法应用于压缩弹簧设计和压力容器设计问题,进一步验证了改进策略的有效性及该算法的工程实用性。

基于多策略改进的蜜獾优化算法

针对蜜獾算法(Honey Badger Algorithm,HBA)在解决复杂优化问题时存在收敛速度慢,容易陷入局部最优的问题,提出了一种基于多策略改进的蜜獾优化算法(IHBA).首先,引入Sobol序列初始化种群,增加种群的多样性;其次,引入动态自适应密度因子和黄金正弦策略,快速切割解空间,平衡全局搜索与局部搜索,提升寻优效率;然后,引入柯西变异策略,优化最优解,避免算法陷入局部最优.为验证算法的性能,选取7种智能算法与IHBA对比,对10个经典测试函数进行寻优对比和Wilcoxon秩和检验,仿真结果表明IHBA算法的收敛速度和寻优精度都得到了提升;最后,将IHBA用于求解2个实际的工程优化问题,仿真结果表明IHBA在解决工程优化问题时具有较好的鲁棒性和实用性.

多策略改进的蜜獾优化算法

针对标准蜜獾算法存在的易陷入局部最优值、目标精度低、局部搜索能力不足等问题,提出了一种多策略改进的蜜獾算法.在种群初始化阶段,使用Chebyshev混沌映射初始化种群,保证随机性的同时提高种群的均衡性;在局部挖掘阶段加入莱维飞行,使寻找最优值到确定最优值的过程更加平稳,避免算法陷入局部最优;在最优个体确定阶段上引入最优个体自适应变异策略,来提高算法局部搜索能力以及收敛精度,避免算法个体早熟.选取18个基准测试函数进行仿真,同时结合秩和检验、实际工程应用对该算法进行多维度评估,实验证明改进的蜜獾算法与标准蜜獾算法相比,在收敛速度、目标精度以及寻优搜索能力均有明显改善,表现出较好的鲁棒性.

优化模糊C均值聚类的台区用户用电特征分析方法

精准的用户特性分析方法是配电网模型计算与电力服务制定的重要基础之一,为克服现有配电台区多样性用户划分的数量选择与特征选择难题,提出一种优化模糊C-均值聚类的用户用电特征分析方法。利用优化的模糊C-均值算法实现聚类分析,通过聚类中心建立特征模型,从而获知多样化场景下配电台区用户特性。在聚类过程中,通过蜜獾算法优化选取模糊C-均值聚类初值,来应对易局部最优的难题,找到目标函数最小的结果;利用指标自适应极小值的原则选取最佳聚类数,使聚类中心代表性更强。通过天津地区的典型案例获取用户用电特征,实现聚类目标函数与结果综合性评价指标最优的目的。

基于改进蜜獾优化算法的光伏MPPT研究

光伏阵列的输出功率易受外界影响而呈现功率多峰值现象,传统的最大功率追踪算法难以寻得最优功率输出。为了提升光伏发电系统的效率,提出一种改进的蜜獾优化算法作为光伏最大功率点追踪的方法。结合Tent映射,使种群在初始化过程中均匀分布,以增加算法全局寻优能力。在Matlab2018b/Simulink环境下仿真,基于Boost电路验证最大功率的追踪效果,结果显示,该方法在不同工况下,较粒子群算法的MPPT,均具有较好的追踪效果,且改进的HBA算法较HBA本身,追踪时间缩短了0.104 s。

基于ICEEMDAN与BiLSTM的交直流混联电网故障识别

针对交直流混联电网故障特征提取困难与故障类型识别准确率低的问题,提出了一种基于改进的完全自适应噪声集合经验模态分解(ICEEMDAN)和蜜獾算法优化双向长短时记忆神经网络(BiLSTM)超参数的交直流混联电网故障类型辨识方法。首先,利用ICEEMDAN对线路故障电压电流进行分解;然后,基于方差贡献率与相关系数联合特征指标选择模态分量并求其峰峰值,以选出的模态分量的峰峰值作为特征向量输入至蜜獾算法优化后的双向长短时记忆网络进行故障类型辨识。最后,在PSCAD/EMTDC中搭建了交直流混联电网模型对所提方法进行验证。实验结果表明,所提算法故障辨识准确率达到99.5%,受不同故障线路、故障过渡电阻、故障位置、数据丢失影响较小,并且对10 dB噪声干扰下的含噪声信号的故障辨识准确率达到95.9%,具有较强的适应性。