How AI-Powered Optimization Can Define The Next Phase Of Cloud And AI Maturity

Global IT spending has crossed the multitrillion-dollar mark, with AI infrastructure representing one of the fastest-growing ...
IEEE

A Coevolutionary Response Framework for Dynamic Constrained Multi-Objective Optimization Problems

Abstract: Dynamic constrained multi-objective optimization problems (DCMOPs) present significant challenges due to the evolving nature of both objectives and constraints. These problems require ...
blockchain

NVIDIA cuOpt Solver Cracks Four Previously Unsolved Optimization Problems

NVIDIA's GPU-accelerated cuOpt engine discovers new solutions for four MIPLIB benchmark problems, outperforming CPU solvers with 22% lower objective gaps. NVIDIA's cuOpt optimization engine has found ...
Scientific Research Publishing

Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach ()

Supply chain partners often face a fundamental trade-off: dishonesty can provide immediate rewards, but excessive lying erodes credibility and undermines future opportunities. Prior research has ...
Scientific Research Publishing

Optimization of Complex Spray Drying Operations in Manufacturing Using Machine Learning: Evaluating Techniques for Energy Efficiency and Product Quality Enhancement ()

This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...