BHJO: A Novel Hybrid Metaheuristic Algorithm Combining the Beluga Whale, Honey Badger, and Jellyfish Search Optimizers for Solving Engineering Design Problems

Hybridizing metaheuristic algorithms involves synergistically combining different optimization techniques to effectively address complex and challenging optimization problems.This approach aims to leverage the strengths of multiple algorithms,enhancing solution quality,convergence speed,and robustness,thereby offering a more versatile and efficient means of solving intricate real-world optimization tasks.In this paper,we introduce a hybrid algorithm that amalgamates three distinct metaheuristics:the Beluga Whale Optimization(BWO),the Honey Badger Algorithm(HBA),and the Jellyfish Search(JS)optimizer.The proposed hybrid algorithm will be referred to as BHJO.Through this fusion,the BHJO algorithm aims to leverage the strengths of each optimizer.Before this hybridization,we thoroughly examined the exploration and exploitation capabilities of the BWO,HBA,and JS metaheuristics,as well as their ability to strike a balance between exploration and exploitation.This meticulous analysis allowed us to identify the pros and cons of each algorithm,enabling us to combine them in a novel hybrid approach that capitalizes on their respective strengths for enhanced optimization performance.In addition,the BHJO algorithm incorporates Opposition-Based Learning(OBL)to harness the advantages offered by this technique,leveraging its diverse exploration,accelerated convergence,and improved solution quality to enhance the overall performance and effectiveness of the hybrid algorithm.Moreover,the performance of the BHJO algorithm was evaluated across a range of both unconstrained and constrained optimization problems,providing a comprehensive assessment of its efficacy and applicability in diverse problem domains.Similarly,the BHJO algorithm was subjected to a comparative analysis with several renowned algorithms,where mean and standard deviation values were utilized as evaluation metrics.This rigorous comparison aimed to assess the performance of the BHJOalgorithmabout its counterparts,shedding light on its effectiveness and reliability in solving optimization problems.Finally,the obtained numerical statistics underwent rigorous analysis using the Friedman post hoc Dunn’s test.The resulting numerical values revealed the BHJO algorithm’s competitiveness in tackling intricate optimization problems,affirming its capability to deliver favorable outcomes in challenging scenarios.

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。

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.

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。

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.

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。

A Novel Approach for State of Health Estimation and Remaining Useful Life Prediction of Supercapacitors Using an Improved Honey Badger Algorithm Assisted Hybrid Neural Network

Supercapacitors(SCs)are widely recognized as excellent clean energy storage devices.Accurate state of health(SOH)estimation and remaining useful life(RUL)prediction are essential for ensuring their safe and reliable operation.This paper introduces a novel method for SOH estimation and RUL prediction,based on a hybrid neural network optimized by an improved honey badger algorithm(HBA).The method combines the advantages of convolutional neural network(CNN)and bidirectional long-short-term memory(BiLSTM)neural network.The HBA optimizes the hyperparameters of the hybrid neural network.The CNN automatically extracts deep features from time series data and reduces dimensionality,which are then used as input for the BiLSTM.Additionally,recurrent dropout is introduced in the recurrent layer to reduce overfitting and facilitate the learning process.This approach not only improves the accuracy of estimates and forecasts but also significantly reduces data processing time.SCs under different working conditions are used to validate the proposed method.The results show that the proposed hybrid model effectively extracts features,enriches local details,and enhances global perception capabilities.The proposed hybrid model outperforms single models,reducing the root mean square error to below 1%,and offers higher prediction accuracy and robustness compared to other methods.

计及状态量平均超限比的综合能源系统动态能量流双层优化

综合能源系统(IES)的最优动态能量流能够最大限度地减少系统运行成本。针对IES能量流优化过程中状态量的越限现象,引入状态量平均超限比,统一刻画状态变量的超限程度,并建立计及状态量平均超限比的电-气-热IES多目标动态时序能量流模型,以解决状态量超限惩罚代价系数选取不当所导致的优化结果偏离可行最优解的问题。为了防止蜜獾算法(HBA)对能量流的优化陷入局部极小值,建立一种基于多目标差分进化(MODE)算法的双层动态能量流优化模型,上层稳态能量流模型以IES运行成本和状态量平均超限比为优化目标,采用MODE算法求解全局空间内的Pareto非支配解集;下层动态能量流模型以IES运行成本和状态量平均超限惩罚成本的加权和为优化目标,基于Pareto解集生成HBA的初始种群决策量,通过HBA加快求解IES全局最优动态能量流的速度。通过算例仿真验证了所提模型和优化方法的有效性。

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.

FULHAM BADGERS—ENJOYING THE GAME

富勒姆足球俱乐部（Fulham Football Club）成立于1879年，到现在已有130多年的历史了。主场位于可以容纳30500名观众的克拉文农场球场（Craven Cottage）。在上世纪60年代，他们大多数都在旧甲组联赛（超级联赛的前身）参赛，但并没有赢得任何主要的锦标赛冠军。1975年，他们打进足总杯决赛，但这也是他们历史上唯一的一次。他们于2009-2010赛季获得了欧洲联赛的亚军。

美国Badger军械公司M134 CPR步枪

M134CPR步枪全称为M134 Compact Precision Rifle（紧凑型高精度步枪），是Badger军棚推出的一款旋转后拉枪机式步枪。该枪采用7档可调的伸缩式枪托，全枪质量4．2kg。为体硎枪的枪管长度较短，并有两种长度可选，其中362mm长的枪管口部固装枪口消焰／制退器，

基于改进蜜獾算法的波能转换器阵列优化

针对波浪能转换器(WEC)阵列发电效率提升问题,提出一种基于改进蜜獾算法的三系WEC阵列优化方法.首先,为克服原始蜜獾算法(HBA)收敛速度慢、收敛精度低等缺陷,引入佳点集初始化、混沌机制和蜜獾种群变异3种策略对原始HBA进行改进.此外,为了验证改进蜜獾算法(IHBA)的先进性和有效性,开展2个浮标、10个浮标和20个浮标3个不同规模的WEC阵列优化实验.2浮标阵列仿真结果表明,WEC阵列优化存在多组最优解,且IHBA、HBA、遗传算法和粒子群优化算法都能以不同速度找到最优解.然而,随着WEC阵列规模的增大,3种对比算法都会陷入局部最优解.相反地,IHBA依然表现出较强寻优能力并能搜寻到全局最优解.最后,IHBA所获10浮标和20浮标的阵列q因子分别高达1.059和0.968,远优于其他3种算法.