High-fidelity Multiphysics Modelling for Rapid Predictions Using Physics-informed Parallel Neural Operator.

Multi-objective optimization of the auto-carrier loading and routing problem in an automotive logistics company.

A hybrid genetic algorithm based on reinforcement learning for the energy-aware production scheduling in the photovoltaic glass industry.

f-PICNN: A physics-informed convolutional neural network for partial differential equations with space-time domain.

Smart Parcel Consolidation at Cainiao.

Physics-informed Deep Learning to Solve Three-dimensional Terzaghi Consolidation Equation: Forward and Inverse Problems.

A math-heuristic approach for scheduling the production and delivery of a mobile additive manufacturing hub.

Practice Summary: Cainiao Optimizes the Fulfillment Routes of Parcels.

The vehicle relocation problem with operation teams in one-way carsharing systems.

Combinatorial Benders decomposition for mixed-model two-sided assembly line balancing problem.

The Large-Scale Periodic Home Health Care Server Assignment Problem: A Region-Partition-Based Algorithm.

Cooperative route planning for the drone and truck in delivery services: A bi-objective optimisation approach.

Internet videos and colorectal cancer in mainland China: a content analysis.

Daily scheduling of caregivers with stochastic times.

Mathematical model and exact algorithm for the home care worker scheduling and routing problem with lunch break requirements.

A late acceptance hill-climbing algorithm for balancing two-sided assembly lines with multiple constraints.

An effective hybrid honey bee mating optimization algorithm for balancing mixed-model two-sided assembly lines.