OCAIJan 6, 2024

Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process

arXiv:2401.03244v223 citationsh-index: 25
Originality Synthesis-oriented
AI Analysis

It addresses the potential for AI to improve decision-making in operations research, but it is incremental as it surveys existing work without presenting new results.

This survey paper explores how artificial intelligence can enhance the operations research process across stages like parameter generation and model optimization, aiming to inspire further development of AI-enhanced OR methods and tools.

The rapid advancement of artificial intelligence (AI) techniques has opened up new opportunities to revolutionize various fields, including operations research (OR). This survey paper explores the integration of AI within the OR process (AI4OR) to enhance its effectiveness and efficiency across multiple stages, such as parameter generation, model formulation, and model optimization. By providing a comprehensive overview of the state-of-the-art and examining the potential of AI to transform OR, this paper aims to inspire further research and innovation in the development of AI-enhanced OR methods and tools. The synergy between AI and OR is poised to drive significant advancements and novel solutions in a multitude of domains, ultimately leading to more effective and efficient decision-making.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes