Vehicle Routing Problem (VRP) - Computational Complexity and Quantum Solutions
Deep dive into VRP optimization: why it's computationally hard, what makes it NP-hard, and how quantum computing can provide advantages for large-scale routing problems.
Supply Chain Routing Optimization - Multi-Objective Complexity and Quantum Solutions
Comprehensive guide to supply chain routing optimization: why it's computationally hard, multi-objective complexity, and how quantum computing can provide advantages for large-scale distribution networks.
Production Line Balancing Optimization - Energy Efficiency and Quantum Solutions
Comprehensive guide to production line balancing: why it's computationally hard, energy optimization challenges, and how quantum computing can provide advantages for large-scale manufacturing optimization.
Demand Forecast Optimization - ML Constraints and Quantum Solutions
Demand forecasting in practice: combinatorial search, rolling-origin validation, and sample-efficient hyperparameter tuning. Evidence-driven hybrid (classical + quantum) exploration without over-claiming.
Shift Scheduling Optimization - Computational Complexity and Quantum Solutions
Deep dive into shift scheduling problems: why they're computationally hard, constraint complexity, and how quantum computing can provide advantages for large-scale workforce optimization.
Knapsack and Portfolio Optimization - Computational Challenges and Quantum Solutions
Comprehensive guide to Knapsack problems and portfolio optimization: why they're NP-hard, computational complexity, and how quantum computing can provide advantages for large-scale optimization.
Energy Grid Load Balancing - Real-Time Optimization and Quantum Solutions
Comprehensive guide to energy grid load balancing: why it's computationally hard, real-time optimization challenges, and how quantum computing can provide advantages for large-scale grid management.