Operations Research

  1. Heuristics and Metaheuristics
    1. Introduction to Heuristic Methods
      1. Exact vs. Approximate Methods
        1. Quality vs. Efficiency Trade-offs
          1. When to Use Heuristics
          2. Construction Heuristics
            1. Greedy Algorithms
              1. Nearest Neighbor Heuristics
                1. Savings Algorithms
                  1. Insertion Heuristics
                  2. Local Search Methods
                    1. Neighborhood Structures
                      1. Hill Climbing
                        1. Local Optima Problems
                          1. Multi-Start Methods
                          2. Metaheuristic Frameworks
                            1. Simulated Annealing
                              1. Cooling Schedules
                                1. Acceptance Probability
                                  1. Parameter Tuning
                                  2. Tabu Search
                                    1. Tabu Lists
                                      1. Memory Structures
                                        1. Aspiration Criteria
                                          1. Intensification and Diversification
                                          2. Genetic Algorithms
                                            1. Representation and Encoding
                                              1. Selection Methods
                                                1. Crossover Operators
                                                  1. Mutation Operators
                                                    1. Population Management
                                                    2. Ant Colony Optimization
                                                      1. Pheromone Trails
                                                        1. Construction Procedures
                                                          1. Pheromone Update Rules
                                                            1. Parameter Settings
                                                            2. Particle Swarm Optimization
                                                              1. Particle Representation
                                                                1. Velocity Updates
                                                                  1. Position Updates
                                                                    1. Swarm Topology
                                                                  2. Hybrid Methods
                                                                    1. Combining Exact and Heuristic Methods
                                                                      1. Multi-Level Approaches
                                                                        1. Matheuristics
                                                                        2. Performance Evaluation
                                                                          1. Solution Quality Assessment
                                                                            1. Computational Efficiency
                                                                              1. Statistical Testing
                                                                                1. Benchmarking