Evolution strategies are a type of optimization algorithm inspired by the principles of natural selection and evolution, which focus on evolving solutions to complex problems through iterative processes. These strategies emphasize the use of self-adaptation mechanisms, allowing the algorithm to adjust its parameters over time to enhance performance. They play a crucial role in combining robotics with artificial intelligence and evolutionary computation, fostering the development of adaptive systems capable of solving real-world challenges.
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