An Adaptive Algorithm
An adaptive algorithm is a computational method that dynamically adjusts its behavior or parameters in response to changes in the environment or data it processes. This adjustment is typically guided by a predefined reward mechanism or criterion, which helps the algorithm optimize its performance for the given conditions.
Areas of application
- Machine Learning
- Artificial Intelligence
- Data Analytics
- Robotics
- Autonomous Systems
- Supply Chain Management
- Financial Modeling
Example
A self-driving car equipped with an adaptive algorithm can adjust its speed and route in real-time to account for changing road conditions, traffic patterns, and weather. By continuously monitoring and responding to these factors, the algorithm optimizes the vehicle’s performance and safety.