Autonomous Job Performance Optimization
This course will provide an overview of the strategies and techniques used to optimize job performance in autonomous settings. Topics covered will include job design, goal setting, feedback systems, and performance measurement. Students will learn how to use data-driven approaches to improve job performance and increase productivity. The course will
In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems that can be reduced to finding good paths through graphs. Artificial ants represent multi-agent methods inspired by the behavior of real ants. The pheromone-based communication of biological ants is often the predominant paradigm used. Combinations of artificial ants and local search algorithms have become a preferred method for numerous optimization tasks involving some sort of graph, e.g., vehicle routing and internet routing.