Apache Struts 2 Plugin Registry

Struts2提供了简单的插件架构,允许开发者通过添加JAR文件来扩展框架功能。本文列举了多种可用插件,包括DataVision、HDIV、LightBoxJS等,并介绍了如何使用这些插件。
Apache Struts 2 Plugin Registry
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Added by Don Brown, last edited by Frank W. Zammetti on Jun 06, 2007  ( view change) show comment show comment hide comment
Comment: Added a phrase in the second paragraph to clarify that plugins may require other dependency JARs be installed in addition to the plugin JAR itself
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Apache Struts 2 provides a simple plugin architecture so that develpers can extend the framework just by adding a JAR to the application's classpath (in addition to whatever JARs may be required to fulfill the dependencies of the plugin itself). Since plugins are contained in a JAR, they are easy to share with others. Here, we list plugins available for Struts 2 and provides help on how to use them.

Contributed plugins may be of varying quality. If not bundled with the official Struts 2 distribution, a plugin cannot be guaranteed to be safe. You install plugins from this space at your own risk. We do not monitor or guarantee any code posted in this space. If you find dangerous or malicious code posted here, please contact the Struts User mailing list immediately.


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【无人机】基于改进粒子群算法的无人机路径规划研究[和遗传算法、粒子群算法进行比较](Matlab代码实现)内容概要:本文围绕基于改进粒子群算法的无人机路径规划展开研究,重点探讨了在复杂环境中利用改进粒子群算法(PSO)实现无人机三维路径规划的方法,并将其与遗传算法(GA)、标准粒子群算法等传统优化算法进行对比分析。研究内容涵盖路径规划的多目标优化、避障策略、航路点约束以及算法收敛性和寻优能力的评估,所有实验均通过Matlab代码实现,提供了完整的仿真验证流程。文章还提到了多种智能优化算法在无人机路径规划中的应用比较,突出了改进PSO在收敛速度和全局寻优方面的优势。; 适合人群:具备一定Matlab编程基础和优化算法知识的研究生、科研人员及从事无人机路径规划、智能优化算法研究的相关技术人员。; 使用场景及目标:①用于无人机在复杂地形或动态环境下的三维路径规划仿真研究;②比较不同智能优化算法(如PSO、GA、蚁群算法、RRT等)在路径规划中的性能差异;③为多目标优化问题提供算法选型和改进思路。; 阅读建议:建议读者结合文中提供的Matlab代码进行实践操作,重点关注算法的参数设置、适应度函数设计及路径约束处理方式,同时可参考文中提到的多种算法对比思路,拓展到其他智能优化算法的研究与改进中。
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