Adaptive techniques refer to a set of methods and strategies used in various fields such as engineering, computer science, and biology to dynamically adjust or optimize systems in response to changing conditions or environments. These techniques often involve the use of algorithms and feedback mechanisms to continuously adapt and improve the performance of a system based on real-time data and feedback. In the context of engineering, adaptive techniques can be used to optimize control systems, signal processing algorithms, and decision-making processes in dynamic environments. In computer science, adaptive techniques are used in machine learning, optimization algorithms, and resource management to improve efficiency and performance. In biology, adaptive techniques are used in evolutionary algorithms, genetic programming, and neural networks to simulate and study adaptive behaviors in living organisms. Overall, adaptive techniques play a crucial role in enabling systems to autonomously react and adjust to changing circumstances, ultimately leading to more efficient and effective performance in complex and unpredictable environments.