基于Elitism策略的改进免疫遗传算法求解TSP问题

TSP问题是一类典型的NP完全问题。作者结合Elitism策略提出了一种新的改进免疫遗传算法。该算法既保留了遗传算法的全局随机搜索的优点,又避免了免疫遗传算法的早熟、收敛速度慢等缺点。经仿真实验对比,在求解TSP问题时,该文提出的新算法具有收敛速度快及动态收敛性好的优点。

Central Force Optimization with Gravity <0, Elitism, and Dynamic Threshold Optimization: An Antenna Application, 6-Element Yagi-Uda Arrays

This paper investigates the effect of adding three extensions to Central Force Optimization when it is used as the Global Search and Optimization method for the design and optimization of 6-elementYagi-Uda arrays. Those extensions are Negative Gravity, Elitism, and Dynamic Threshold Optimization. The basic CFO heuristic does not include any of these, but adding them substantially improves the algorithm’s performance. This paper extends the work reported in a previous paper that considered only negative gravity and which showed a significant performance improvement over a range of optimized arrays. Still better results are obtained by adding to the mix Elitism and DTO. An overall improvement in best fitness of 19.16% is achieved by doing so. While the work reported here was limited to the design/optimization of 6- element Yagis, the reasonable inference based on these data is that any antenna design/optimization problem, indeed any Global Search and Optimization problem, antenna or not, utilizing Central Force Optimization as the Global Search and Optimization engine will benefit by including all three extensions, probably substantially.

Oriented Generation of Novel Thermo-Sensitive Genic Male Sterile Lines with Improved Grain Shape and Outcrossing Rate in Early-Season Rice

Two-line hybrid rice with excellent quality is preferred in the Chinese market.However,there is a trade-off between reducing costs for hybrid seed production and lowering the outcrossing rate of the sterile line,which is largely determined by the stigma exsertion rate(SER).In this study,we constructed mutants of male sterility lines with improved grain length(GL)and SER in three elite early-season indica rice varieties through targeted manipulation of the TMS5 and GS3 genes using CRISPR/Cas9-mediated multiplex systems.We obtained a series of marker-free gs3 single mutants and gs3tms5 double mutants with significantly higher SER,longer grains,and increased 1000-grain weight compared with the wild type(WT).Importantly,the typically thermo-sensitive genic male sterile(TGMS)trait with a higher SER was observed in gs3tms5 mutants,and their F1 hybrids exhibited remarkable improvements in grain shape and yield-related traits.Our findings provided an efficient method to generate new valuable TGMS germplasm with improved SER through the mutagenesis of GS3 and TMS5 synergistically,and demonstrated that GS3 had pleiotropic effects on grain size,SER,and grain quality in early-season indica rice.

World Class Elite Breaststrokers Downward Kick EMG Muscle Activity of the Gluteus Maximus, Quadriceps Femoris, Hamstring, Gastrocnemius Medialis, Rectus Abdominal, and Erector Spinae

This study analyzed the difference between using a downward breaststroke kick and a horizontal breaststroke kick in a sample of world class elite swimmers.We compared average muscle activity of the gluteus maximus,quadriceps femoris(vastus medialis and rectus femoris),hamstring/long head of the biceps femoris,gastrocnemius medialis,rectus abdominal,and erector spinae when using the downward breaststroke kick technique.We find that when this sample of swimmers utilized the downward breaststroke kick,max speed and velocity per stroke increased,measured by 12,788 EMG samples,where the results are highly correlated to duration of the aerodynamic buoyant force in breaststroke kick technique.The increases in performance observed from measuring the world class elite swimmers is highly correlated to the duration of the kick aerodynamic buoyant force.Among this sample of elite swimmers,the longer a swimmer demonstrates a buoyant force breaststroke kick,the lower the time in a 100 breaststroke.

New Indonesian Leader Expected To Maintain Friendly China Policy

Indonesian Minister of Defence Prabowo Subianto won Indonesia’s presidential election in February 2024.Prabowo hails from an elite family that has served in many high positions in Indonesia.Having served in important positions in the military for a long time,he is very well connected with military and political circles.

Decision Making and Ability： An Explanation of Elitism in China＇s Government

This article tries to explain elitism in China＇s governmental decision making. Our model shows that the governments＇ expected utility increases with a bureaucrat＇s ability to make decisions under the flexible framework of delegation and communication （with separated reporting strategy）. In the early of 1950s, China＇s government choose a flexible decision making framework in order to efficiently manage many affairs in a complex environment. This initial choice started the process of a self-reinforcing demand for ability inside of the flexible decision making framework. With the current reforms of streamlining administrations and retreating from the market, the elitism of China＇s government might reverse.

Temperature Control of Proton Exchange Membrane Fuel Cell Based on Linear Active Disturbance Rejection Control

The performance of proton exchange membrane fuel cells is very sensitive to temperature. The electrochemical reaction results directly in temperature variations in the proton exchange membrane fuel cell. Ensuring effective temperature control is crucial to ensure fuel cell reliability and durability. This paper uses active disturbance rejection control in the thermal management system to maintain the operating temperature and the stack inlet and outlet temperature difference at the set value. First, key cooling system modules such as expansion tanks, coolant circulation pumps and radiators based on Simulink were built. Then, physical modeling and simulation of the fuel cell cooling system was carried out. In order to ensure the effectiveness of the control strategy and reduce the parameter tuning workload, an active disturbance rejection control parameter optimization method using an elite genetic algorithm was proposed. When the optimized control strategy responds to input disturbances, the maximum overshoot of the system is only 1.23% and can reach stability again in 30 s, so the fuel cell temperature can be controlled effectively. Simulation results show that the optimized control strategy can effectively control the stack temperature and coolant temperature difference under the influence of stepped charging current without interference or with interference, and has strong robustness and anti-interference capability.

Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System

Efficient speed controllers for dynamic driving tasks in autonomous vehicles are crucial for ensuring safety and reliability.This study proposes a novel approach for designing a fractional order proportional-integral-derivative(FOPID)controller that utilizes a modified elite opposition-based artificial hummingbird algorithm(m-AHA)for optimal parameter tuning.Our approach outperforms existing optimization techniques on benchmark functions,and we demonstrate its effectiveness in controlling cruise control systems with increased flexibility and precision.Our study contributes to the advancement of autonomous vehicle technology by introducing a novel and efficient method for FOPID controller design that can enhance the driving experience while ensuring safety and reliability.We highlight the significance of our findings by demonstrating how our approach can improve the performance,safety,and reliability of autonomous vehicles.This study’s contributions are particularly relevant in the context of the growing demand for autonomous vehicles and the need for advanced control techniques to ensure their safe operation.Our research provides a promising avenue for further research and development in this area.

Creating Prep to Play PRO for women playing elite Australian football:A how-to guide for developing injury-prevention programs

Background:Developing context-specific,evidence-informed,and implementable injury-prevention programs is challenging.Women playing in the elite Australian Football League for Women are at high risk of serious knee injuries,and no specific injury-prevention program exists.The objective of the study was to describe the collaborative process used to create a context-specific injury-prevention program.Methods:A previously used intervention-development process was modified to incorporate a partnership with the sport’s governing organization and focus on engaging program implementers.The Reach Effectiveness Adoption Implementation and Maintenance(RE-AIM)Sports Setting Matrix guided program development and implementation strategies.Results:The 7-step process,aligned with the RE-AIM Sports Setting Matrix,was applied to develop the injury-prevention program and was titled Prep to Play PRO.The steps were:(Step 1)gaining organizational support and establishing a project partnership;(Step 2)using research evidence and clinical experience;(Step 3)consulting content and context experts;(Step 4)engaging the organization,experts,program implementers,and end-users to concreate the intervention and develop implementation strategies;(Step 5)testing the intervention acceptability and feasibility;(Step 6)evaluating the intervention and implementation strategies against theory;and(Step 7)obtaining feedback from early implementers and end-users.Conclusion:Engaging critical stakeholders at multiple ecological levels(organization,team,and athlete)throughout program development and implementation planning support real-world use.The processes and activities described can guide future sports injury-prevention program development and implementation.

Stay-Green Panicle Branches Improve Processing Quality of Elite Rice Cultivars

Rice panicle branches are key routes for transportation of photo synthetic products to grains.Branch senescence is an important trait that the breeders considered when breeding elite rice cultivars in South China.However,little is known about the mechanisms underlying the contributions of stay-green panicle branches to rice yield and quality.Here,we reported stay-green branches that continuously maintained transportation function and provided carbohydrates for basal grain development at the late stages of rice development.This ensured the coordination of development between apical and basal grains,and further improved the processing quality of elite rice.These findings provided strategies for improving the fullness and quality of rice grains and presented an important basis for cultivating elite rice.

Assessing edge-coupled interdependent network disintegration via rank aggregation and elite enumeration

The disintegration of networks is a widely researched topic with significant applications in fields such as counterterrorism and infectious disease control. While the traditional approaches for achieving network disintegration involve identifying critical sets of nodes or edges, limited research has been carried out on edge-based disintegration strategies. We propose a novel algorithm, i.e., a rank aggregation elite enumeration algorithm based on edge-coupled networks(RAEEC),which aims to implement tiling for edge-coupled networks by finding important sets of edges in the network while balancing effectiveness and efficiency. Our algorithm is based on a two-layer edge-coupled network model with one-to-one links, and utilizes three advanced edge importance metrics to rank the edges separately. A comprehensive ranking of edges is obtained using a rank aggregation approach proposed in this study. The top few edges from the ranking set obtained by RAEEC are then used to generate an enumeration set, which is continuously iteratively updated to identify the set of elite attack edges.We conduct extensive experiments on synthetic networks to evaluate the performance of our proposed method, and the results indicate that RAEEC achieves a satisfactory balance between efficiency and effectiveness. Our approach represents a significant contribution to the field of network disintegration, particularly for edge-based strategies.

Telomere-to-telomere genome assembly of melon(Cucumis melo L.var.inodorus)provides a high-quality reference for meta-QTL analysis of important traits

Melon is an important horticultural crop with extensive diversity in many horticultural groups.To explore its genomic diversity,it is necessary to assemble more high-quality complete genomes from different melon accessions.Meanwhile,a large number of QTLs have been mapped in several studies.Integration of the published QTLs onto a complete genome can provide more accurate information for candidate gene cloning.To address these problems,a telomere-to-telomere(T2T)genome of the elite melon landrace Kuizilikjiz(Cucumis melo L.var.inodorus)was de novo assembled and all the published QTLs were projected onto it in this study.The results showed that a high-quality Kuizilikjiz genome with the size of 379.2 Mb and N50 of 31.7 Mb was de novo assembled using the combination of short reads,PacBio high-fidelity long reads,Hi-C data,and a high-density genetic map.Each chromosome contained the centromere and telomeres at both ends.A large number of structural variations were observed between Kuizilikjiz and the other published genomes.A total of 1294 QTLs published in 67 studies were collected and projected onto the T2T genome.Several clustered,co-localized,and overlapped QTLs were determined.Furthermore,20 stable meta-QTLs were identified,which significantly reduced the mapping intervals of the initial QTLs and greatly facilitated identification of the candidate genes.Collectively,the T2T genome assembly together with the numerous projected QTLs will not only broaden the high-quality genome resources but also provide valuable and abundant QTL information for cloning the genes controlling important traits in melon.

VvWRKY5 enhances white rot resistance in grape by promoting the jasmonic acid pathway

Grape white rot is a disease caused by Coniella diplodiella(Speg.)Sacc.(Cd)can drastically reduce the production and quality of grape(Vitis vinifera).WRKY transcription factors play a vital role in the regulation of plant resistance to pathogens,but their functions in grape white rot need to be further explored.Here,we found that the expression of the WRKY IIe subfamily member VvWRKY5 was highly induced by Cd infection and jasmonic acid(JA)treatment.Transient injection and stable overexpression(in grape calli and Arabidopsis)demonstrated that VvWRKY5 positively regulated grape resistance to white rot.We also determined that VvWRKY5 regulated the JA response by directly binding to the promoters of VvJAZ2(a JA signaling suppressor)and VvMYC2(a JA signaling activator),thereby inhibiting and activating the transcription of VvJAZ2 and VvMYC2,respectively.Furthermore,the interaction between VvJAZ2 and VvWRKY5 enhanced the suppression and promotion of VvJAZ2 and VvMYC2 activities by VvWRKY5,respectively.When VvWRKY5 was overexpressed in grape,JA content was also increased.Overall,our results suggested that VvWRKY5 played a key role in regulating JA biosynthesis and signal transduction as well as enhancing white rot resistance in grape.Our results also provide theoretical guidance for the development of elite grape cultivars with enhanced pathogen resistance.

Ensemble of Population-Based Metaheuristic Algorithms

No optimization algorithm can obtain satisfactory results in all optimization tasks.Thus,it is an effective way to deal with the problem by an ensemble ofmultiple algorithms.This paper proposes an ensemble of population-based metaheuristics(EPM)to solve single-objective optimization problems.The design of the EPM framework includes three stages:the initial stage,the update stage,and the final stage.The framework applies the transformation of the real and virtual population to balance the problem of exploration and exploitation at the population level and uses an elite strategy to communicate among virtual populations.The experiment tested two benchmark function sets with fivemetaheuristic algorithms and four ensemble algorithms.The ensemble algorithms are generally superior to the original algorithms by Friedman’s average ranking andWilcoxon signed ranking test results,demonstrating the ensemble framework’s effect.By solving the iterative curves of different test functions,we can see that the ensemble algorithms have faster iterative optimization speed and better optimization results.The ensemble algorithms cannot fall into local optimumby virtual populations distribution map of several stages.The ensemble framework performs well from the effects of solving two practical engineering problems.Some results of ensemble algorithms are superior to those of metaheuristic algorithms not included in the ensemble framework,further demonstrating the ensemble method’s potential and superiority.

安森美和极氪签署碳化硅功率器件长期供应协议

智能电源和智能感知技术的领导者安森美和豪华智能纯电品牌极氪智能科技(ZEEKR)宣布双方签署长期供应协议(LTSA)。安森美将为极氪提供EliteSiC碳化硅(SiC)功率器件,以提高其智能电动汽车(EV)的能效,从而提升性能,加快充电速度,延长续航里程。极氪将采用安森美的M3E 1200V EliteSiC MOSFET,以配合其不断扩大的高性能纯电车型产品阵容,实现更强的电气和机械性能及可靠性。这些功率器件提供更高的功率和热能效,从而减小其电动汽车主驱逆变器的尺寸与重量,并提高续航里程。

Study on Rural Solid Waste Collection and Transportation Mode and Route Optimization Strategy in the Cold Regions of Northern China

Rural vitalization is a major strategy for reform and development of agriculture and rural areas in China,the key task of which is improving rural living environment.Imperfect rural solid waste(RSW)collection and transportation system exacerbates the pollution of RSW to rural living environment,while it has not been established and improved in the cold region of Northern China due to climate and economy.Through the analysis of the current situation of RSW source separation,collection,transportation and disposal in China,an RSW collection and transportation system suitable for the northern cold region was developed.Considering the low winter temperature in the northern cold region,different requirements for RSW collection,transportation and terminal disposal,scattered source points and single terminal disposal nodes in rural areas,the study focused on determining the number and location of transfer stations,established a model for transfer stations selection and RSW collection and transportation routes optimization for RSW collection and transportation system,and proposed the elite retention particle swarm optimization–genetic algorithm(ERPSO–GA).The rural area of Baiquan County was taken as a representative case,the collection and transportation scheme of which was given,and the feasibility of the scheme was clarified by simulation experiment.

“Elites”Gathering,Looking Forward to the Future!The Grand Event about the Whole Industry Chain of Surfactant is Encouraging!

Perceive a new tendency,see a new future,take advantage of new technologies and lead a new wave!From Mar.23rd-25th,the“2023 China Surfactant Industry Conference”and“2023 China International Surfactant Industry Expo”were held fervently at Guangzhou Nanfeng Langham Hotel.This grand event was sponsored by China Research Institute of Daily Chemical Industry,undertaken by China Daily Chemical Industry Information Center and Surfactant&Detergent Industry Productivity Promotion Center.

The Haitian Revolution and Jean-Jacques Dessalines:The End of History and the Last Man Standing

This work,using a structurationist approach,phenomenological structuralism,argues that the Haitian Revolution and Jean-Jacques Dessalines represented the first embodiment of Alexandre Kojève’s“End of History”thesis.Following the Haitian Revolution,which is a revolt against slavery and mercantilist capitalism,the founder of the country,Jean-Jacques Dessalines,attempted to synthesize three forms of system and social integration on the island in order to constitute the nation of Haiti:the mercantilist and liberal capitalism of the Affranchis,petit-bourgeois blacks and mulatto elites,respectively;and the Lakouism,communism,of the African majority on the island.In this sense,Dessalines represented the first embodiment of Kojève’s end of history Hegelian thesis.Using a structurationist,structural Marxist,understanding of practical consciousness constitution,the work explores the origins and basis for Dessalines’s social,political,and economic policies to that end.The death of Dessalines,I conclude,would undermine this revolutionary impetus of the Haitian Revolution,rendering it insignificant,and converted Haiti into the so-called poorest country in the Western Hemisphere under American neoliberal capitalist hegemony.

Globalization Under the Spells of Breakdowns in Supply Chains, Regime Change, Regime Formation, and Alliance Restructuring: How Much Is Left for Public Goods?

In a paper conceived about five years ago(“Globalization and Public Goods:Too Big to Tackle?”)roughly a dozen factors were linked to explain important causal paths from globalization to the potential output of public goods.The Russian invasion of Ukraine,the corona epidemic,and the increased hegemonic rivalry between China and the U.S.interrupted or even destroyed many of the linkages between globalization and potential public good production.About five important detrimental paths involved in the meantime.In the present article we aim at linking what is left from the previous level of globalization or emerging to form a new and simplified causal model for likely linkages between truncated or(re-)emerging globalization,and the deadly needed output of public goods.These linkages refer to rules of climate control,go to trade linkages and arbitrary tariffs and trade interventions.Regime change,regime formation,and alliance restructuring address aspects of domestic rule and international stability.Selectorate theory,regime type,and exit options for political elites provide key explanatory factors in explaining globalization and public goods productions,or their decay.Where possible we use some data and transformation experiences corroborating our arguments.In other instances need for further empirical macro research will become clear.

PID控制参数优化中的改进免疫遗传算法

针对传统的PID控制起参数优化方法的缺点,提出了一种结合精英策略的改进的人工免疫遗传算法(IGAE),该算法的特点是以新的抗体相似度、期望繁殖率以及克隆选择概率的定义方法和计算公式作为优化问题的目标函数,采用IGAE去调整和优化PID控制器的三个增益参数,结合精英选择策略(elitism strategy)以获得性能最优的PID控制器。仿真实验结果表明新的免疫遗传算法具有全局优化的能力,响应速度快、鲁棒性强,对变参数PID控制的参数优化设计是成功和有效的。