Reinforcement learning model for optimizing bid price and service quality in crowdshipping

Prediction of energy consumption for manufacturing small and midum-sized enterprises (SMEs) considering industry characteristics

Adaptive inventory replenishment using structured reinforcement learning by exploiting a policy structure

A deep learning-baed approach to a newsvendor problem considering uncertainty and time-varying costs

Effective subsidy policy for a grid-connected microgrid: Evidence from a Korean case study

DIP-QL: A novel reinforcement learning method for constrained industrial systems

A sampling-based solution approach for electricity capacity expansion planning with chance constraint

A two-stage hybrid manufacturing model with controllable make-to-order production rates

A learning-based approach for dynamic freight brokerages with transfer and territory-based assignment

A feature selection method for classifying highly similar text documents