MobEvolve: An Agentic Self-Evolving Heuristic System for Interpretable Human Mobility Generation
Human mobility generation aims to synthesize realistic trip chains for target populations based on individual features. Existing paradigms, including deep generative models, LLM-based methods, and traditional heuristics, struggle to satisfy the complex demands of this task while simultaneously maintaining interpretability, behavioral plausibility, population-level distributional alignment, and inference efficiency. To bridge this gap, we introduce MobEvolve, the first agentic self-evolving heuri
Record details
Published: 1 June 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Agents & autonomy
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (1 June 2026), “MobEvolve: An Agentic Self-Evolving Heuristic System for Interpretable Human Mobility Generation,” evidence record 3310, https://ethics.ai/record/3310 (originally published by arXiv).
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