A comprehensive approach to the optimization of financial portfolios is provided by the Integral Analysis Method (IAM … optimization problem. The cardinal analysis uses the L_1 risk model, which is enriched by the inclusion of a stochastic constraint … optimization problem: success probability (assessed through the cardinal analysis) and business reputation (assessed through the …

with Dual Response Surface Optimization (DRSO). The integration of DRSO and EA enhances adaptability, allowing for dynamic … study contributes significantly to the optimization of maintenance routes, presenting a clear roadmap for enhancing …

This study explores an innovative approach to portfolio optimization, bridging traditional Modern Portfolio Theory (MPT … optimization, emphasizing the importance of clarity and ease of understanding in complex financial portfolio models. …

congestion is a key issue. This article implements an integrated tactical-operational optimization framework which raises the …. To this end, we developed a library of multiple smart models for the optimization of port operations, independently … engaged in parallel but mathematically coordinated to achieve autonomous real-time distributed optimization, using a novel …

. Researchers frequently utilize GAMS and CPLEX as optimization modeling software and solvers. Furthermore, MATLAB is a commonly …

used for optimizing production processes. However, in most industrial applications, modeling and optimization of production … tools and frameworks facilitate the path for deriving models, reducing modeling time and cost. However, optimization by … that embraces automated machine learning pipelines and a multi-objective optimization algorithm for improving the …