Leveraging the Synergy of AI and Optimization Models for Enhanced Problem Solving and Decision-Making

Abstract

The development of the combination of the artificial intelligence (AI) and optimization models is a revolutionary way to solve problems and make decisions in a variety of areas. This paper examines the synergistic opportunity of integrating AI methods, i.e., machine learning and natural language processing, with different optimization models, i.e., linear programming and genetic algorithms. The efficiencies and high-quality solutions can be attained by using the ability of AI to process large volumes of data and optimize performance and the accuracy of the optimization models to make decisions. The paper provides the concepts of foundations, a specific hybrid form of AI-optimization algorithm, and explains its use with a numerical example. There are examples of successful integrations in supply chain management, finance, healthcare and others, with the improved decision-making, strategic benefits and economic effects. The ethical concerns and the future perspectives of the AI-enhanced optimization are also discussed, with the focus placed on the significance of the further research and development of this area.