摘 要：本文研究了自适应算法在动态环境下的应用，首先介绍了自适应算法和动态环境的基本概念，然后分析了自适应算法在动态环境下的应用挑战，包括动态环境的复杂性和不确定性、自适应算法的适应性和鲁棒性以及算法参数的选择和调整。接着，本文提出了自适应算法在动态环境下的优化策略，包括基于学习机制、基于多智能体系统和基于数据挖掘和机器学习的优化策略。最后，本文总结了自适应算法在动态环境下的应用前景与未来发展方向，并指出了仍面临的主要挑战和研究问题。
关键词：自适应算法；动态环境；机器学习
Application of adaptive algorithms in a dynamic environment
Abstract ：This paper studies the application of adaptive algorithm in dynamic environment, first introduces the basic concepts of adaptive algorithm and dynamic environment, and then analyzes the application challenges of adaptive algorithm in dynamic environment, including the complexity and uncertainty of dynamic environment, the adaptability and robustness of adaptive algorithm, and the selection and adjustment of algorithm parameters. Next, this paper presents optimization strategies for adaptive algorithms in dynamic environments, including those based on learning mechanisms, multi-agent systems, and optimization strategies based on data mining and machine learning. Finally, this paper summarizes the application prospect and future development direction of the adaptive algorithm in the dynamic environment, and points out the main challenges and research problems still facing.
Key Words ： Adaptive algorithm; Dynamic environment; Machine learning
目 录
摘要 1
1 理论基础 2
1.1 适应性算法综述 2
1.2 动态环境综述 3
2 动态环境中自适应算法的挑战 3
2.1 复杂而不确定的动态环境 3
2.2 具有较强自适应能力的适应性与健壮性 4
2.3 如何选取与调节算法中的参数 4
3 动态环境下自适应算法的优化策略 4
3.1 自适应算法优化方法 4
3.2 自适应算法优化策略 5
3.3 数据挖掘与机器学习相结合 6
4 结论 6
参考文献 7
谢辞 8
