Evolutionary Algorithms

TL;DR Most “multi‑objective” solutions collapse trade‑offs into a single number. MORSE keeps the trade‑offs alive: it evolves a Pareto front of policies—not just solutions—so operators can switch policies in real time as priorities shift (profit ↔ emissions ↔ lead time). Add a CVaR knob and the system becomes tail‑risk aware, reducing catastrophic outcomes without babysitting. Why this matters (for operators & P&L owners) Supply chains live in tension: service levels vs working capital, speed vs emissions, resilience vs cost. Traditional methods either: ...

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: ...