Generative Simulation Benchmarking for wildfire evacuation logistics networks in carbon-negative infrastructure

Generative Simulation Benchmarking for wildfire evacuation logistics networks in carbon-negative infrastructure Introduction: A Learning Journey at the Nexus of Crisis and Climate My journey into this niche began not with a grand plan, but with a frustrating contradiction. While exploring reinforcement learning for optimizing last-mile delivery in smart cities, I was simultaneously reading reports on the catastrophic 2020 wildfire season. A stark realization hit me: our most advanced logistics AI was fine-tuning the delivery of consumer goods, while communities faced evacuation chaos governed by static, outdated plans. The disconnect was profound. This personal observation sparked a multi-year research exploration: could the generative AI and simulation paradigms revolutionizing e-commerce be harnessed for something far more critical—saving lives in a climate-altered world, specifically within the emerging framework of carbon-negative infrastructure? In my research of agent-based model