Artificial intelligence for optimization: Unleashing the potential of parameter generation, model formulation, and solution methods

The rapid advancement of artificial intelligence (AI) techniques has opened up new opportunities to revolutionize various fields, including operations research and in particular various components of the optimization process. This survey paper explores the integration of AI with optimization (AI4OPT...

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Veröffentlicht in:European journal of operational research
Hauptverfasser: Fan, Zhenan, Ghaddar, Bissan, Wang, Xinglu, Xing, Linzi, Zhang, Yong, Zhou, Zirui
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.09.2025
Schlagworte:
Algorithm selection
Artificial intelligence
Decision analysis
Machine learning
Modeling
Optimization
Algorithm selection
Decision analysis
Artificial intelligence
Modeling
Optimization
Machine learning
ISSN:0377-2217
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Zusammenfassung:The rapid advancement of artificial intelligence (AI) techniques has opened up new opportunities to revolutionize various fields, including operations research and in particular various components of the optimization process. This survey paper explores the integration of AI with optimization (AI4OPT) to enhance its effectiveness and efficiency across multiple stages, such as parameter generation, model formulation, and solution methods. By providing a comprehensive overview of the state-of-the-art and examining the potential of AI to transform optimization, this paper aims to inspire further research and innovation in the development of AI-enhanced optimization methods and tools. The synergy between AI and optimization is poised to drive significant advancements and novel solutions in a multitude of domains, ultimately leading to more effective and efficient decision-making. •The integration of AI with optimization across four distinct stages is surveyed.•The use of AI for parameter generation in optimization is presented.•An overview of the advancements in LLMs for mathematical modeling is provided.•A review of the application of AI for algorithmic enhancement is conducted.•The strengths and the shortcomings of the AI models are discussed.
ISSN:0377-2217
DOI:10.1016/j.ejor.2025.08.029