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Part I Mathematical Programming of Public Transport Problems
1 Introduction to Mathematical Programming
2 Introduction to Computational Complexity
3 Continuous Unconstrained Optimization
4 Continuous Constrained Optimization
5 Discrete Optimization
Part II Solution Approximation with Artificial Intelligence: The case of metaheuristics
6 Metaheuristics for Discrete Optimization Problems
7 Metaheuristics for Continuous Optimization Problems
8 Multi-objective Optimization Metaheuristics
Part III Public Transport Optimization: from Network Design to Operations
9 Public Transport Network Design
10 Tactical Planning of Public Transport Services
11 Multi-modal Synchronization at the Tactical Planning Stage
12 Operational Planning and Control
13 Planning under Uncertainty.

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