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Biological activities and potential functional optimization strategies of corosolic acid:a review 认领 引用 被引量：1
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作者 Baozhu Shi Haixin Sun +4 位作者 Zhuang Sun Qiaojun Jia Hao Zhang Yong Mao Zisheng Luo 《Food Innovation and Advances》 2025年第2期228-237,共10页
Corosolic acid,a naturally occurring pentacyclic triterpenic acid,is widely recognized for its broad spectrum of biological activities,particularly its antidiabetic properties,making it a popular ingredient in dietary... Corosolic acid,a naturally occurring pentacyclic triterpenic acid,is widely recognized for its broad spectrum of biological activities,particularly its antidiabetic properties,making it a popular ingredient in dietary supplements for regulating blood sugar levels.Beyond its anti-diabetic effects,recent studies have revealed its therapeutic potential in areas such as anti-cancer,anti-inflammatory,and antibacterial activities.However,its clinical application is hindered by poor water solubility and low bioavailability due to its molecular structure.This review systematically examines the pharmacological activities of corosolic acid,emphasizing its mechanisms of action in disease intervention.Emerging strategies to overcome its inherent limitations,including chemical modifications,microbial transformations,and advanced delivery systems,are also discussed.Notably,some chemical derivatives exhibitα-glucosidase inhibition with IC50 values half that of corosolic acid.Microbial transformations have been shown to enhance its bioavailability while reducing cancer cell toxicity.Additionally,corosolic acid-based delivery systems have demonstrated significant improvements in solubility,stability,and biological activity.By consolidating current insights into its functional properties and biological activity enhancement methods,this review aims to emphasize the practical application values in food and medicine and the future development of corosolic acid as a versatile bioactive compound. 展开更多
关键词 pentacyclic triterpenic acidis regulating blood sugar biological activities corosolic acid low bioavail dietary supplements functional optimization strategies corosolic acida
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Hydrogel Electrolytes for Zinc-Ion Batteries:Materials Design,Functional Strategies,and Future Perspectives 认领 引用
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作者 Zhengchu Zhang Yongbiao Mu +8 位作者 Lijuan Xiao Hengyuan Hu Tao Xue Limin Zang Eiichi Sakai Meisheng Han Chao Yang Lin Zeng Jianhui 《Nano-Micro Letters》 SCIE EI CAS CSCD 2026年第4期787-830,共44页
With the escalating demand for safe,sustainable,and high-performance energy storage systems,hydrogel electrolytes have emerged as promising alternatives to conventional liquid electrolytes in zinc-ion batteries.By int... With the escalating demand for safe,sustainable,and high-performance energy storage systems,hydrogel electrolytes have emerged as promising alternatives to conventional liquid electrolytes in zinc-ion batteries.By integrating the high ionic conductivity of liquid electrolytes with the mechanical robustness of solid frameworks,hydrogel electrolytes offer distinct advantages in suppressing zinc dendrite formation,enhancing interfacial stability,and enabling reliable operation under extreme environmental conditions.This review systematically summarizes the fundamental characteristics and design criteria of hydrogel electrolytes,including mechanical flexibility,ionic transport capabilities,and environmental adaptability.It further explores various compositional design strategies involving natural polymers,synthetic polymers,and composite systems,as well as the incorporation of electrolyte salts and functional additives.In addition,recent advances in functional optimization,such as anti-freezing properties,self-healing abilities,thermal responsiveness,and biocompatibility,are comprehensively discussed.Finally,the review outlines the current challenges and proposes potential directions for future research. 展开更多
关键词 Zinc-ion batteries Hydrogel electrolytes Dendrite growth Functional optimization strategy
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Optimal personality functioning:An existential Franklian psychobiography of Noel Chabani Manganyi(1940–2024) 认领 引用
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作者 Lulu Mtimkulu Paul J.P Fouché 《Journal of Psychology in Africa》 2026年第3期361-370,共10页
This psychobiography aimed to uncover the characteristics of optimal personality functioning(OPF)across the lifespan of Chabani Manganyi(1940–2024),the first Black South African clinical psychologist.The methodology ... This psychobiography aimed to uncover the characteristics of optimal personality functioning(OPF)across the lifespan of Chabani Manganyi(1940–2024),the first Black South African clinical psychologist.The methodology used in this study encompassed an existential Franklian scholarly psychobiography.Sources of data on Manganyi included only publicly available primary and secondary data.Primary sources included Manganyi’s own writings,such as his autobiography,as well as his academic publications,including the biographies he wrote on creative individuals such as Gordimer,Sekoto and Mphahlele.Secondary sources included scholarly publications by academics and colleagues who knew him,as well as tributes,historical accounts,and archival records related to South African psychology scholarship during apartheid and the country’s transition to democracy.The study’s data sources were captured using online research platforms and search engines that included EBSCOhost,ResearchGate,Google Scholar,the University of the Free State’s Kovsie Catalogue and ProQuest.Alexander’s(1988,1990)biographical approach,which lists nine indicators of thematic salience(i.e.,uniqueness,negation,emphasis,primacy,frequency,error or distortion,isolation,incompletion,and omission)were utilized for the identification,extraction and compilation of salient data for analysis,alongside Frankl’s proposed nine characteristics of optimal personality functioning.Findings revealed that Manganyi personified characteristics of self-determining action,which were consistently evident in his pursuit of education,his intellectual independence,and his scholarly innovations in the field of South African psychology.Manganyi also personified a sense of self-transcendence,primarily expressed through his scholarship,mentorship,and social advocacy.He consistently positioned his dedication to work in his search for broader societal comprehension and transformation,beyond his personal advancement.Manganyi also exhibited qualities of future-directedness,work as vocation,and the search for meaning in resilient living,serving as a role model in managing challenging life and historical circumstances in transformative ways.The findings align with Frankl’s existential characteristics of optimal personality functioning as applied within this scholarly psychobiographical approach,highlighting its cross-cultural transportability in studying historical figures. 展开更多
关键词 Psychobiography Chabani Manganyi Viktor Frankl existentialism optimal personality functioning
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Dipper Throated Optimization Algorithm for Unconstrained Function and Feature Selection 认领 引用 被引量：9
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作者 Ali E.Takieldeen El-Sayed M.El-kenawy +1 位作者 Mohammed Hadwan Rokaia M.Zaki 《Computers, Materials & Continua》 SCIE EI 2022年第7期1465-1481,共17页
Dipper throated optimization(DTO)algorithm is a novel with a very efficient metaheuristic inspired by the dipper throated bird.DTO has its unique hunting technique by performing rapid bowing movements.To show the effi... Dipper throated optimization(DTO)algorithm is a novel with a very efficient metaheuristic inspired by the dipper throated bird.DTO has its unique hunting technique by performing rapid bowing movements.To show the efficiency of the proposed algorithm,DTO is tested and compared to the algorithms of Particle Swarm Optimization(PSO),Whale Optimization Algorithm(WOA),Grey Wolf Optimizer(GWO),and Genetic Algorithm(GA)based on the seven unimodal benchmark functions.Then,ANOVA and Wilcoxon rank-sum tests are performed to confirm the effectiveness of the DTO compared to other optimization techniques.Additionally,to demonstrate the proposed algorithm’s suitability for solving complex realworld issues,DTO is used to solve the feature selection problem.The strategy of using DTOs as feature selection is evaluated using commonly used data sets from the University of California at Irvine(UCI)repository.The findings indicate that the DTO outperforms all other algorithms in addressing feature selection issues,demonstrating the proposed algorithm’s capabilities to solve complex real-world situations. 展开更多
关键词 Metaheuristic optimization swarmoptimization feature selection function optimization
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Adaptive immune-genetic algorithm for global optimization to multivariable function 认领 引用 被引量：10
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作者 Dai Yongshou Li Yuanyuan +2 位作者 Wei Lei Wang Junling Zheng Deling 《Journal of Systems Engineering and Electronics》 SCIE EI 2007年第3期655-660,共6页
An adaptive immune-genetic algorithm （AIGA） is proposed to avoid premature convergence and guarantee the diversity of the population. Rapid immune response （secondary response）, adaptive mutation and density opera... An adaptive immune-genetic algorithm （AIGA） is proposed to avoid premature convergence and guarantee the diversity of the population. Rapid immune response （secondary response）, adaptive mutation and density operators in the AIGA are emphatically designed to improve the searching ability, greatly increase the converging speed, and decrease locating the local maxima due to the premature convergence. The simulation results obtained from the global optimization to four multivariable and multi-extreme functions show that AIGA converges rapidly, guarantees the diversity, stability and good searching ability. 展开更多
关键词 immune-genetic algorithm function optimization hyper-mutation density operator.
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Elitism-based immune genetic algorithm and its application to optimization of complex multi-modal functions 认领 引用 被引量：6
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作者 谭冠政 周代明 +1 位作者 江斌 DIOUBATE Mamady I 《Journal of Central South University of Technology》 2008年第6期845-852,共8页
A novel immune genetic algorithm with the elitist selection and elitist crossover was proposed, which is called the immune genetic algorithm with the elitism （IGAE）. In IGAE, the new methods for computing antibody s... A novel immune genetic algorithm with the elitist selection and elitist crossover was proposed, which is called the immune genetic algorithm with the elitism （IGAE）. In IGAE, the new methods for computing antibody similarity, expected reproduction probability, and clonal selection probability were given. IGAE has three features. The first is that the similarities of two antibodies in structure and quality are all defined in the form of percentage, which helps to describe the similarity of two antibodies more accurately and to reduce the computational burden effectively. The second is that with the elitist selection and elitist crossover strategy IGAE is able to find the globally optimal solution of a given problem. The third is that the formula of expected reproduction probability of antibody can be adjusted through a parameter r, which helps to balance the population diversity and the convergence speed of IGAE so that IGAE can find the globally optimal solution of a given problem more rapidly. Two different complex multi-modal functions were selected to test the validity of IGAE. The experimental results show that IGAE can find the globally maximum/minimum values of the two functions rapidly. The experimental results also confirm that IGAE is of better performance in convergence speed, solution variation behavior, and computational efficiency compared with the canonical genetic algorithm with the elitism and the immune genetic algorithm with the information entropy and elitism. 展开更多
关键词 immune genetic algorithm multi-modal function optimization evolutionary computation elitist selection elitist crossover
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Optimal Lyapunov Function and Minimum Amplitude Control for Disturbed Linear Systems 认领 引用
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作者 Xiuchong Liu Zhanshan Wang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2025年第11期2264-2274,共11页
It is a challenging issue to obtain the minimum amplitude control for linear systems subject to amplitudebounded disturbances.The difficulty is how to accurately give the quantitative relationship between the system H... It is a challenging issue to obtain the minimum amplitude control for linear systems subject to amplitudebounded disturbances.The difficulty is how to accurately give the quantitative relationship between the system H∞norm and control parameters.An optimal-Lyapunov-function-based controller design concept is proposed,and a minimum amplitude control scheme is presented under amplitude-bounded disturbances.Firstly,the optimal Lyapunov function is proposed by analyzing the geometric characteristics of the system H∞norm,and the necessary and sufficient condition of the optimal Lyapunov function parameter matrix is given.Secondly,the optimal Lyapunov function parameter matrix is constructed in the parameterized matrix equation,and the accurate quantitative relationship between the system H∞norm and control parameters is given.Finally,the control parameter optimization method is proposed according to the quantitative relationship between the system H∞norm and control parameters.Unlike robust optimization control methods,the presented minimum amplitude control scheme avoids the improper selection of the Lyapunov function in the controller design,and provides a novel way to design the minimum amplitude control under the given control accuracy.A buck converter example is given to illustrate the effectiveness and practicability of the presented scheme. 展开更多
关键词 Geometric analysis of H∞norm linear systems minimum amplitude control optimal Lyapunov function parameter optimization Riccati inequality
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Optimization of the Dressing Parameters in Cylindrical Grinding Based on a Generalized Utility Function 认领 引用 被引量：2
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作者 ALEKSANDROVA Irina 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2016年第1期63-73,共11页
The existing studies, concerning the dressing process, focus on the major influence of the dressing conditions on the grinding response variables. However, the choice of the dressing conditions is often made, based on... The existing studies, concerning the dressing process, focus on the major influence of the dressing conditions on the grinding response variables. However, the choice of the dressing conditions is often made, based on the experience of the qualified staff or using data from reference books. The optimal dressing parameters, which are only valid for the particular methods and dressing and grinding conditions, are also used. The paper presents a methodology for optimization of the dressing parameters in cylindrical grinding. The generalized utility function has been chosen as an optimization parameter. It is a complex indicator determining the economic, dynamic and manufacturing characteristics of the grinding process. The developed methodology is implemented for the dressing of aluminium oxide grinding wheels by using experimental diamond roller dressers with different grit sizes made of medium- and high-strength synthetic diamonds type AC32 and AC80. To solve the optimization problem, a model of the generalized utility function is created which reflects the complex impact of dressing parameters. The model is built based on the results from the conducted complex study and modeling of the grinding wheel lifetime, cutting ability, production rate and cutting forces during grinding. They are closely related to the dressing conditions （dressing speed ratio, radial in-feed of the diamond roller dresser and dress-out time）, the diamond roller dresser grit size/grinding wheel grit size ratio, the type of synthetic diamonds and the direction of dressing. Some dressing parameters are determined for which the generalized utility fimction has a maximum and which guarantee an optimum combination of the following： the lifetime and cutting ability of the abrasive wheels, the tangential cutting force magnitude and the production rate of the grinding process. The results obtained prove the possibility of control and optimization of grinding by selecting particular dressing parameters. 展开更多
关键词 dressing conditions cylindrical grinding diamond roller dresser generalized utility function based optimization
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A New Evolutionary Algorithm for Function Optimization 认领 引用 被引量：43
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作者 GUO Tao, KANG Li shan State Key Laboratory of Software Engineering, Wuhan University,Wuhan 430072, China 《Wuhan University Journal of Natural Sciences》 EI CAS 1999年第4期409-414,共6页
A new algorithm based on genetic algorithm(GA) is developed for solving function optimization problems with inequality constraints. This algorithm has been used to a series of standard test problems and exhibited good... A new algorithm based on genetic algorithm(GA) is developed for solving function optimization problems with inequality constraints. This algorithm has been used to a series of standard test problems and exhibited good performance. The computation results show that its generality, precision, robustness, simplicity and performance are all satisfactory. 展开更多
关键词 Key words evolutionary algorithm function optimization problem inequality constraints
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An Improved GT Algorithm for Solving Complicated Dynamic Function Optimization Problems 认领 引用
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作者 ZHANG Qing LI Yan +1 位作者 KANG Zhuo KANG Lishan 《Wuhan University Journal of Natural Sciences》 CAS 2009年第5期404-408,共5页
An improved Guo Tao algorithm （IGT algorithm） is proposed for solving complicated dynamic function optimization problems, and a function optimization benchmark problem with constrained condition and two dynamic para... An improved Guo Tao algorithm （IGT algorithm） is proposed for solving complicated dynamic function optimization problems, and a function optimization benchmark problem with constrained condition and two dynamic parameters has been designed. The results achieved by IGT algorithm have been compared with the results from the Guo Tao algorithm （GT algorithm）. It is shown that the new algorithm （IGT algorithm） provides better results. This preliminarily demonstrates the efficiency of the new algorithm in complicated dynamic environments. 展开更多
关键词 dynamic function optimization Guo Tao algorithm （GT algorithm） benchmark problems
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Kernel Function-Based Primal-Dual Interior-Point Methods for Symmetric Cones Optimization 认领 引用
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作者 ZHAO Dequan ZHANG Mingwang 《Wuhan University Journal of Natural Sciences》 CAS 2014年第6期461-468,共8页
In this paper, we present a large-update primal-dual interior-point method for symmetric cone optimization（SCO） based on a new kernel function, which determines both search directions and the proximity measure betwe... In this paper, we present a large-update primal-dual interior-point method for symmetric cone optimization（SCO） based on a new kernel function, which determines both search directions and the proximity measure between the iterate and the center path. The kernel function is neither a self-regular function nor the usual logarithmic kernel function. Besides, by using Euclidean Jordan algebraic techniques, we achieve the favorable iteration complexity O（ √r（1/2）（log r）^2 log（r/ ε））, which is as good as the convex quadratic semi-definite optimization analogue. 展开更多
关键词 symmetric cones optimization Kernel function Interior-point method polynomial complexity
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Improvement of Cardiac Function by Dry Weight Optimization Based on Interdialysis Inferior Vena Caval Diameter(2) 认领 引用 被引量：2
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作者 Shixue Hirayama Yasuhiro Ando +1 位作者 Yuji Sud Yasushi Asano 《中国血液净化》 2002年第12期1-3,共3页
关键词 CTR DBP SBP EF Improvement of Cardiac Function by Dry Weight Optimization Based on Interdialysis Inferior Vena Caval Diameter
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Improvement of Cardiac Function by Dry Weight Optimization Based on Interdialysis Inferior Vena Caval Diameter (1) 认领 引用 被引量：1
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作者 Shizue Hirayama Yasuhiro Ando +1 位作者 Yuji Sudo Yasushi Asano 《中国血液净化》 2002年第11期1-2,共2页
In hemodialysis (HD) patients, the diameter of the inferior vena cava (IVC) serves for evaluation of the amount of body fluid.
关键词 In Improvement of Cardiac Function by Dry Weight Optimization Based on Interdialysis Inferior Vena Caval Diameter body IVC
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Interface Design and Functional Optimization of Chinese Learning Apps Based on User Experience 认领 引用
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作者 Qihui Hong Jialing Hu Nianxiu Fang 《教育技术与创新》 2024年第2期59-78,共20页
This research paper investigates the interface design and functional optimization of Chinese learning apps through the lens of user experience.With the increasing popularity of Chinese language learning apps in the er... This research paper investigates the interface design and functional optimization of Chinese learning apps through the lens of user experience.With the increasing popularity of Chinese language learning apps in the era of rapid mobile internet development,users'demands for enhanced interface design and interaction experience have grown significantly.The study aims to explore the influence of user feedback on the design and functionality of Chinese learning apps,proposing optimization strategies to improve user experience and learning outcomes.By conducting a comprehensive literature review,utilizing methods such as surveys and user interviews for data collection,and analyzing user feedback,this research identifies existing issues in the interface design and interaction experience of Chinese learning apps.The results present user opinions,feedback analysis,identified problems,improvement directions,and specific optimization strategies.The study discusses the potential impact of these optimization strategies on enhancing user experience and learning outcomes,compares findings with previous research,addresses limitations,and suggests future research directions.In conclusion,this research contributes to enriching the design theory of Chinese learning apps,offering practical optimization recommendations for developers,and supporting the continuous advancement of Chinese language learning apps. 展开更多
关键词 Chinese Learning Apps User Experience Interface Design Functional Optimization
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Strain-Tunable Interlayer Magnetic Coupling in van der Waals Ferromagnet Fe3GaTe2Nanoflakes 认领 引用
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作者 Sinan Liu Chuandi Pan +10 位作者 Chunsheng Wang Hengning Wang Dongna Feng Gaojie Zhang Hao Wu Haixin Chang Huanhuan Zhang Jin Tang Qilong Sun Guolin Zheng Mingliang Tian 《Chinese Physics Letters》 SCIE EI CAS CSCD 2026年第4期271-279,共9页
Interlayer magnetic coupling plays vital roles in the physical properties of van der Waals(vd W)magnets and in engineering functionally optimized spintronics.So far,however,few avenues are available to control the mag... Interlayer magnetic coupling plays vital roles in the physical properties of van der Waals(vd W)magnets and in engineering functionally optimized spintronics.So far,however,few avenues are available to control the magnetic coupling at interfaces. 展开更多
关键词 interfaces Fe Ga nanoflakes van der waals ferromagnet functionally optimized spintronicsso strain tunable interlayer magnetic coupling control magnetic coupling
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Artificial bee colony algorithm with comprehensive search mechanism for numerical optimization 认领 引用 被引量：5
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作者 Mudong Li Hui Zhao +1 位作者 Xingwei Weng Hanqiao Huang 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2015年第3期603-617,共15页
The artificial bee colony （ABC） algorithm is a sim- ple and effective global optimization algorithm which has been successfully applied in practical optimization problems of various fields. However, the algorithm is... The artificial bee colony （ABC） algorithm is a sim- ple and effective global optimization algorithm which has been successfully applied in practical optimization problems of various fields. However, the algorithm is still insufficient in balancing ex- ploration and exploitation. To solve this problem, we put forward an improved algorithm with a comprehensive search mechanism. The search mechanism contains three main strategies. Firstly, the heuristic Gaussian search strategy composed of three different search equations is proposed for the employed bees, which fully utilizes and balances the exploration and exploitation of the three different search equations by introducing the selectivity probability P,. Secondly, in order to improve the search accuracy, we propose the Gbest-guided neighborhood search strategy for onlooker bees to improve the exploitation performance of ABC. Thirdly, the self- adaptive population perturbation strategy for the current colony is used by random perturbation or Gaussian perturbation to en- hance the diversity of the population. In addition, to improve the quality of the initial population, we introduce the chaotic opposition- based learning method for initialization. The experimental results and Wilcoxon signed ranks test based on 27 benchmark func- tions show that the proposed algorithm, especially for solving high dimensional and complex function optimization problems, has a higher convergence speed and search precision than ABC and three other current ABC-based algorithms. 展开更多
关键词 artificial bee colony （ABC） function optimization,search strategy population initialization Wilcoxon signed ranks test.
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Two-parameters quasi-filled function algorithm for nonlinear integer programming 认领 引用 被引量：3
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作者 WANG Wei-xiang SHANG You-lin ZHANG Lian-sheng 《Journal of Zhejiang University-SCIENCE A》 EI CAS 2006年第12期2083-2087,共5页
A quasi-filled function for nonlinear integer programming problem is given in this paper. This function contains two parameters which are easily to be chosen. Theoretical properties of the proposed quasi-filled functi... A quasi-filled function for nonlinear integer programming problem is given in this paper. This function contains two parameters which are easily to be chosen. Theoretical properties of the proposed quasi-filled function are investigated. Moreover, we also propose a new solution algorithm using this quasi-filled function to solve nonlinear integer programming problem in this paper. The examples with 2 to 6 variables are tested and computational results indicated the efficiency and reliability of the pro- posed quasi-filled function algorithm. 展开更多
关键词 Integer programming Local minimizer Global minimizer Filled function Global optimization
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Weighted Fuzzy Production Rule Extraction Utilizing an Improved Grey Wolf Optimizer 认领 引用
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作者 Xue-Wei Liu Shao-Qiang Ye +1 位作者 Feng Qin Kai-Qing Zhou 《Computers, Materials & Continua》 SCIE EI 2026年第10期1973-1990,共18页
Weighted fuzzy production rules(WFPRs)provide superior expressiveness and interpretability in knowledge engineering area.However,manual construction of WFPRs is labor-intensive,time-consuming,and inherently subjective... Weighted fuzzy production rules(WFPRs)provide superior expressiveness and interpretability in knowledge engineering area.However,manual construction of WFPRs is labor-intensive,time-consuming,and inherently subjective,which greatly restricts their practical application.The back propagation neural network(BPNN)has been widely adopted for automatic WFPR extraction.Nevertheless,its high sensitivity to initial weight configurations frequently results in premature convergence to local optima,generating redundant,poorly interpretable rule sets that compromise the inherent interpretability advantage of WFPRs.This paper proposes an elite dynamic scout-guided grey wolf optimizer(EDSG-GWO)and integrates it into a BPNN-based WFPR extraction framework to optimize network initial weights.The EDSG-GWO incorporates a nonlinear convergence factor,dynamic weighted position updating,an elite opposition-based learning mechanism,and an adaptive scout bee perturbation strategy to effectively balance global exploration and local exploitation.Unlike existing GWO variants,the EDSG-GWO achieves the synergistic integration of the four above strategies,collectively enhancing convergence accuracy and exploration capability.Numerical experiments are conducted on twelve benchmark functions.The results demonstrate that the EDSG-GWO delivers competitive optimization accuracy and convergence speed.Validated on the PIMA Indians Diabetes Database,the optimized BPNN attains a test accuracy of 72.92%,which is comparable to other metaheuristic-based approaches.More notably,the extracted WFPRs reach an accuracy of 77.08%,outperforming the baseline method by a notable margin.The four extracted rules involve merely six core diagnostic features,whose weight distributions are highly consistent with established medical knowledge.This contributes to a concise,clinically plausible,and highly interpretable rule set for auxiliary diabetes diagnosis.Further validation on the Breast Cancer Wisconsin dataset yields a WFPRs testing accuracy of 94.15%,confirming the framework’s generalizability. 展开更多
关键词 Grey wolf optimizer function optimization back propagation neural network weighted fuzzy production rule extraction
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Toward clinical translation of magnetic microrobotic platforms:A systems engineering breakthrough in precision drug delivery 认领 引用
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作者 Yupei Zhang Chengzhi Hu Bo Li 《Magnetic Medicine》 2026年第1期1-4,共4页
Introduction:from“prototypes”to“clinical reality”-bridging the translational gap Over the past two decades,the fields of micro-and nanoscale medical robotics have produced a wealth of sophisticated research protot... Introduction:from“prototypes”to“clinical reality”-bridging the translational gap Over the past two decades,the fields of micro-and nanoscale medical robotics have produced a wealth of sophisticated research prototypes[1,2],including magnetically actuated helical microrobots[3],ultrasound-driven microrobots[4],chemically propelled microanomotors[5],and hybrid-driven microanorobots[6].However,most of these studies primarily focused on optimizing isolated functional attributes,such as propulsion speed,drug payload capacity,and imaging contrast,while neglecting the integrated and interdependent constraints that govern real-world clinical deployment.Consequently,despite compelling proof-of-concept demonstrations in controlled laboratory settings. 展开更多
关键词 magnetic microrobotic platforms micro nanoscale medical robotics clinical translation functional attributes precision drug delivery research prototypes including systems engineering optimizing isolated functional attributessuch
Simplified Group Search Optimizer Algorithm for Large Scale Global Optimization 认领 引用 被引量：1
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作者 张雯雰 《Journal of Shanghai Jiaotong university(Science)》 EI 2015年第1期38-43,共6页
A simplified group search optimizer algorithm denoted as"SGSO"for large scale global optimization is presented in this paper to obtain a simple algorithm with superior performance on high-dimensional problem... A simplified group search optimizer algorithm denoted as"SGSO"for large scale global optimization is presented in this paper to obtain a simple algorithm with superior performance on high-dimensional problems.The SGSO adopts an improved sharing strategy which shares information of not only the best member but also the other good members,and uses a simpler search method instead of searching by the head angle.Furthermore,the SGSO increases the percentage of scroungers to accelerate convergence speed.Compared with genetic algorithm(GA),particle swarm optimizer(PSO)and group search optimizer(GSO),SGSO is tested on seven benchmark functions with dimensions 30,100,500 and 1 000.It can be concluded that the SGSO has a remarkably superior performance to GA,PSO and GSO for large scale global optimization. 展开更多
关键词 evolutionary algorithms swarm intelli-gence group search optimizer(PSO) large scale global optimization function optimization
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