Huisheng Liu Examines Multi-Cloud MLOps as a Path to More Reliable Commercial AI Services

A multi-cloud MLOps framework improves AI service reliability through automated deployment, canary releases, and cross-cloud failover. By ...

Why AI‑Driven Inventory Optimization Frameworks Are Replacing Traditional Planning Models

The shift toward AI-driven decision frameworks is not simply a technological trend but a fundamental necessity for life ...
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 ...
IEEE

Constrained Multi-Objective Optimization with dMOPSO: An Adaptive Penalty Approach

Abstract: In this paper, we propose a Multi-objective Particle Swarm Optimization (MOPSO) approach based on a decomposition framework with constraint-handling mechanisms to solve Constrained ...