单元整体教学目标设计是落实英语学科核心素养的行动方向和主要途径。指向核心素养的高中英语单元教学目标作业设计是目前广大教师在“双减”背景下面临的一项新的研究课题,其中,相关核心概念的界定、主题语境下单元目标的设计和大观念...单元整体教学目标设计是落实英语学科核心素养的行动方向和主要途径。指向核心素养的高中英语单元教学目标作业设计是目前广大教师在“双减”背景下面临的一项新的研究课题,其中,相关核心概念的界定、主题语境下单元目标的设计和大观念背景下单元作业的设计是此项研究的几个关键性问题,笔者以新北师大版必修一Unit2 Sports and Fitness单元设计为例,基于课堂教学实践,提供了一套行之有效的优化作业设计的具体方法来提升学生的英语学科核心素养。展开更多
An improved ant colony optimization （ACO） algorithm is utilized in cell scheduling of the flexible manufaturing process for considering the instrument constraint, manufacturing cost and time. Firstly, the initial we...An improved ant colony optimization （ACO） algorithm is utilized in cell scheduling of the flexible manufaturing process for considering the instrument constraint, manufacturing cost and time. Firstly, the initial weighted directional diagram is set up. Secondly, the algorithm based on the dynamic pheromone updating ensures the quick convergence and the optimal solution, thus improving the feasibility and the stability of the schedule system. Aiming at reducing collaboration with external partners, decreasing the total cost and balancing the production process, the algorithm is efficient in supporting the management process of the manufacturing cell and in strengthening the information arrangement capabitity of the scheduling system. Finally, experimental results of the improved algorithm are compared with those of other algorithms.展开更多
文摘单元整体教学目标设计是落实英语学科核心素养的行动方向和主要途径。指向核心素养的高中英语单元教学目标作业设计是目前广大教师在“双减”背景下面临的一项新的研究课题,其中,相关核心概念的界定、主题语境下单元目标的设计和大观念背景下单元作业的设计是此项研究的几个关键性问题,笔者以新北师大版必修一Unit2 Sports and Fitness单元设计为例,基于课堂教学实践,提供了一套行之有效的优化作业设计的具体方法来提升学生的英语学科核心素养。
文摘An improved ant colony optimization （ACO） algorithm is utilized in cell scheduling of the flexible manufaturing process for considering the instrument constraint, manufacturing cost and time. Firstly, the initial weighted directional diagram is set up. Secondly, the algorithm based on the dynamic pheromone updating ensures the quick convergence and the optimal solution, thus improving the feasibility and the stability of the schedule system. Aiming at reducing collaboration with external partners, decreasing the total cost and balancing the production process, the algorithm is efficient in supporting the management process of the manufacturing cell and in strengthening the information arrangement capabitity of the scheduling system. Finally, experimental results of the improved algorithm are compared with those of other algorithms.
