Scale Mind: An Intelligent LLM-Based Framework for Scalability-Constrained Combinatorial Optimization
ScaleMind is proposed, an intelligent Large Language Model (LLM)-based framework designed to support scalable combinatorial optimization through natural-language constraint interpretation, structured problem representation, constraint decomposition, candidate-generation guidance, feasibility reasoning, and iterative optimization feedback.