Linkage Model

Linkage models represent the relationships between variables in complex systems, aiming to improve the efficiency and effectiveness of optimization and design processes. Current research focuses on developing and refining these models within various contexts, including evolutionary algorithms (like GOMEA), hierarchical clustering, and the design of mechanical linkages, employing techniques such as fitness-based learning, deep generative models, and community detection. These advancements have significant implications for diverse fields, enhancing the performance of optimization algorithms, improving the design of robotic systems, and providing new insights into the structure of complex data.