Multi-Objective Combinatorial Optimization Problems and Solution Methods (Paperback)

I. Introduction 1. Basic concepts of combinatorial optimization

II. Random-based methods for combinatorial optimization problems a. Metaheuristic 2. Multi-objective Evolutionary Algorithm (MOEA) Approaches 3. Multi-objective swarm intelligence algorithms 4. Trajectory methods 5. Coevolution and hybrid of MOEA Local Search

b. Other random-based methods 6. Heuristic algorithms 7. Relaxation algorithms 8. Decomposition algorithms 9. Column generation

III. Other solution methods 10. Enumerate methods for combinatorial optimization problems 11. Deterministic methods for combinatorial optimization problems 12. Many-objective combinatorial optimization problems