智能搜索算法在线教学实验平台的设计与实现

Design and implementation of online teaching experimental platform based on intelligent search algorithm

为了更好地满足人工智能课程教学的需求,以一种低耦合、高可扩展性的架构,实现了一个以A*算法、模拟退火算法和遗传算法为主题的简洁易用的算法教学实验平台。该平台使用Flex技术来实现算法的演示,使用J2EE和XML相关技术完成后台的设计,并通过C/C++语言完成验证算法的实现。平台提供了A*算法、模拟退火算法和遗传算法的演示程序和验证程序,可以帮助学生直观地学习不同智能搜索算法,为教师和学生提供一个在线互动的教学实验平台,也方便学生开展各算法的自主实验设计。

In order to meet the teaching needs of artificial intelligence,a simple and easy algorithm teaching experiment platform coupled with a low,highly scalable architecture was developed to achieve A＊ algorithm,simulated annealing and genetic algorithm for the topics.The user interfaces of demonstration and validation for the algorithms are realized by Flex technology,while the service interfaces are built by J2EE and XML related technologies,and the verification algorithms are implemented by C/C＋＋ language.The demonstration and validation procedures of A ＊ algorithm,simulated annealing and genetic algorithms are provided in the platform,and the online experimental teaching platform for the teachers and students can also help students learn genetic algorithm easily and intuitively,and facilitate students to experimental design of the algorithms independently.