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 ...
IEEE

Learning-Based Temporal Sequence of Constrained Handling Selection for Constrained Multi-objective Evolutionary Optimization

Abstract: Constraint-handling techniques and genetic operators are two crucial components in constrained multi-objective evolutionary algorithms (CMOEAs). Recent research in most of CMOEAs has ...
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 ...