Evolutionary Algorithms and Self-Organised Systems

The document presents an evolutionary algorithm approach for optimizing the design of self-organized nanostructured systems, emphasizing the integration of automated methods in complex system designs across various disciplines. It highlights the challenges faced in manually designing complex systems and argues for the benefits of automated optimization using advanced AI techniques. The research involves the application of evolutionary algorithms, parameter learning, and structural learning technologies to achieve target behaviors in complex systems.