Computational Logistics

.- Maritime and Port Logistics.
.- Bi-Objective Weather Routing for Vessels with Wind Propulsion.
.- Estimating the Reliability of Ocean Network Designs Prior to Execution.
.- A Hierarchical Decision Framework with Reinforcement Learning for Large-Scale Port Tug Scheduling.
.- Auditing Logistics Hallucinations in Maritime AI: A Knowledge-Graph and Optimization-Based Framework.
.- Integrated Sustainable Planning of Berths and Quay Cranes in Container Terminals: A Comparative Analysis.
.- Learning-Based Methods for Combinatorial Optimization.
.- A Synergistic Neuro-Hybrid Heuristic Framework for Hazardous Healthcare Waste Collection using Multi-Head Attention.
.- A Self-adaptive Reinforcement Learning-Driven Tabu Search for the Electric Vehicle Scheduling Problem.
.- Graph-Coarsening Approach for the Capacitated Vehicle Routing Problem with Time Windows.
.- Preference-Based Sparse Router for Multi-Objective Combinatorial Optimization.
.- Learning Container Selection under Vessel Loading Requirements.
.- Learning Structured Destroy Operators for Large Neighborhood Search in Capacitated Vehicle Routing.
.- Vehicle Routing and Distribution.
.- Vehicle Routing and Truck Driver Scheduling: Alignment with Practice.
.- A Single-Truck-Single-Drone Collaborative Routing under a Decentralized Battery-Swapping Strategy.
.- Optimizing Delivery Routing and Scheduling in Urban Construction Logistics via a Consolidation Center.
.- Computational Simulation on Multi-Objective Stochastic Electric Vehicle Routing with Time Windows.
.- Inventory-Control-Driven Design of an Integrated Distribution Network with Capacitated Facilities and Vehicle Routing: An Angular / Radial Sweep Application.
.- Scheduling, Timetabling and Network Planning.
.- Disruption-Aware Rolling Scheduling of Feeder Transport with Flexible Hub Assignment.
.- A Variable Neighborhood Search for the Professional Driver Training Timetabling Problem.
.- Modeling and Optimizing the Annual Capacity of Professional Driver Training Centers via Integer Linear Programming.
.- From Network to Demand: What Part of OD Matrices Can Be Estimated from Network Topology?.
.- Continuous Interval Selection Problem with Machine Availability: A Case Study in Construction Waste Transportation.
.- Sustainability, Resilience and Data-Driven Decision Support.
.- Post-War Waste Management Logistics and Reconstruction: A Framework for Gaza.
.- Data-Driven Incentive Mechanism Design for Sustainable Intermodal Freight Transport.
.- Data-Driven IT Infrastructure Allocation for University Networks: A PLS-SEM-Calibrated Multi-Objective Optimisation Framework (Morocco).
.- Selective LLM Revision with Statistical Calibration for Sparse Demand Forecasting in Retail Supply Chains.
.- Interpretable Machine Learning for Predictive Energy-Balance Monitoring and Decision Support in Industrial Energy Logistics: A Case Study of OCP JFC4.
.- Digital Governance in Emergency Procurement under Uncertainty: A
Stochastic Decision-Support Perspective.