Genetic algorithmReinforcement learningThreat intelligenceCross Site Scripting (XSS) is one of the most frequently occurring vulnerability. The impact of XSS can vary from cosmetic to catastrophic damages. Howe
decision about whether an image should be retained in the dataset or removed. By leveraging reinforcement learning, the agent dynamically learns and adapts to select the most relevant images, while the genetic algorithm robustly explores and evolves the selection process for optimal performance. The en...
A self-learning genetic algorithm based on reinforcement learning for flexible job-shop scheduling problem, Ronghua Chen and Bo Yang and Shi Li and Shilong Wang 摘要: 作为生产调度的重要分支,FJSP很难解决并且被证明是NP-Hard问题。许多智能算法被提出但是他们的关键参数都不能在计算过程中有效地动态调整,...
Keywords:reinforcementlearning;geneticalgorithm;convergence !"引言 遗传算法(GeneticAlgorithm,简称GA)是一种模仿生 物进化过程的全局优化随机搜索算法,它通过对问题的可 行解进行编码,然后利用自然选择和交叉变异操作来进行 搜索.它的简单通用性和高度鲁棒性的特点,使得它在许多 领域都得到了广泛的应用.一般认为,GA的...
In this paper, we propose Genetic State-Grouping Algorithm based on deep reinforcement learning. The core idea is to divide the entire set of states into a few state groups. Each group consists of states that are mutually similar, thus representing their common features. The state groups are ...
For this reason, the study proposes a new physical education course scheduling model after mathematically modeling the physical education scheduling model and improving the genetic environment based on chaotic genetic algorithm, and then proposes a new physical education course scheduling model. The ...
A self-learning genetic algorithm based on reinforcement learning for flexible job-shop scheduling problem 基于强化学习的柔性作业车间调度问题的自学习遗传算法 相关领域 强化学习计算机科学作业车间调度遗传算法数学优化水准点(测量)调度(生产过程)人工智能地铁列车时刻表机器学习数学大地测量学操作系统地理 ...
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning. data-science machine-learning data-mining deep-learning genetic-algorithm deep-reinforcement-learning ma...
Therefore, a self-learning genetic algorithm (SLGA) is proposed in this paper, in which genetic algorithm (GA) is adopted as the basic optimization method and its key parameters are intelligently adjusted based on reinforcement learning (RL). Firstly, the self-learning model is analyzed and ...
A self-learning genetic algorithm based on reinforcement learning for flexible job-shop scheduling problem Comput. Ind. Eng., 149 (2020), Article 106778 View PDFView articleView in ScopusGoogle Scholar [3] J. Liu, Y. Liu, Y. Shi, J. Li Solving resource-constrained project scheduling problem...