Engineering Optimization call for papers

Learning-Augmented Optimization: Theory, Algorithms, and Applications for Complex Decision-Making

Journal: Engineering Optimization

Optimization has long been the quantitative backbone of engineering decision-making, with metaheuristics, mathematical programming, and robust and stochastic formulations providing the means to plan, design, and operate complex systems. In recent years, the rapid maturation of machine learning, predictive modelling, and reinforcement learning has begun to reshape how these optimization methods are constructed and de…