Adaptive Algorithm is like a smart thermostat in your home. Imagine you have a thermostat that learns your preferred temperature settings over time. At first, it might not know exactly how warm or cool you like your home, but as it observes your preferences and adjusts accordingly, it gets better at keeping your home just right.
In the same way, an adaptive algorithm is a computer program that learns and improves its performance by adjusting to new information or changing conditions. For example, if you use an online shopping site, the recommendations it makes for you are based on what you’ve looked at or purchased before. The algorithm learns from your behavior to suggest items you might like, getting better over time at predicting what you want.
Adaptive algorithms work by analyzing data and recognizing patterns. As they receive more information, they update their methods to provide more accurate results or better recommendations. So, just like the thermostat adjusts to keep your home comfortable based on your preferences, an adaptive algorithm adjusts to provide better outcomes based on the data it processes.
In simple terms, an adaptive algorithm is a program that improves over time by learning from new information, making it more effective at achieving its goals as it gets more experience.
