IEEE

MILP Modeling and Optimization of Multi-Objective Three-Stage Flexible Job Shop Scheduling Problem With Assembly and AGV Transportation

Abstract: In the real manufacturing environment, the machining stage of the jobs and the assembly stage of the products are often completed in different workshops. In addition, automatic guided ...

Self-configuring optical devices automatically learn how to sort out light

Light can be sculpted into countless shapes. Yet building optical devices that can simultaneously manipulate many different ...
Semiconductor Engineering

Thermal-Mechanical Optimization of 2.5D Flip-Chip Packages With Glass and Silicon Interposers (Univ. of Ottawa)

A new technical paper titled “Thermo-mechanical co-design of 2.5D flip-chip packages with silicon and glass interposers via ...
Scientific Research Publishing

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

Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.
IEEE

Multi-Objective Charging Optimization of Lithium-Ion Batteries Considering Electrical, Thermal, and Aging Behaviors Using Deep Reinforcement Learning

Abstract: Lithium-ion battery charging involves many factors such as electricity, heat, aging, etc. Shortening the charging time of lithium-ion batteries while limiting aging and temperature rise is ...
Microsoft

Rethinking Machine Learning Collective Communication as a Multi Commodity Flow problem

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...