Evolving Beyond Bottlenecks: How Agentic Workflows Revolutionize Optimization
Traditionally, solving optimization problems involves meticulous human effort: crafting mathematical models, selecting appropriate algorithms, and painstakingly tuning hyperparameters. Despite the rigor, these human-centric processes are prone to bottlenecks, limiting the industrial adoption of cutting-edge optimization techniques. Wenhao Li and colleagues 1 challenge this paradigm in their recent paper, proposing an innovative shift toward evolutionary agentic workflows, powered by foundation models (FMs) and evolutionary algorithms. Understanding the Optimization Space Optimization problems typically traverse four interconnected spaces: ...