Optimization Model

Optimization modeling seeks to find the best solution to a problem given constraints, with recent research focusing on improving the efficiency and applicability of these models. Current efforts involve leveraging large language models (LLMs) to automate model formulation and solution, developing novel algorithms like meta multi-objectivization (MMO) to overcome challenges such as local optima, and employing machine learning to predict optimal solutions for complex, high-dimensional problems. These advancements are significantly impacting various fields, enabling faster and more effective decision-making in areas such as resource allocation, software configuration, and supply chain management.