Evolution Strategies

Evolution strategies are a type of optimization algorithm inspired by the principles of natural evolution, used to find optimal solutions to complex problems by iteratively adapting a population of candidate solutions. As a key component of evolutionary computation, evolution strategies are particularly relevant to the tech community for their ability to tackle challenging optimization tasks in fields such as machine learning, robotics, and engineering design, where traditional methods often struggle to find effective solutions.