Metaheuristics for Maritime Operations/Метаэвристика для морских операций

Книга на английском языке
Metaheuristic Algorithms in Maritime Operations Optimization focuses on the seaside and port side problems regarding the maritime transportation. The book reviews and introduces the most important problems regarding the shipping network design, long-term and short-term scheduling and planning problems in both bulk and container shipping as well as liquid maritime transportation. Application of meta heuristic algorithm is important for these problems, as most of them are hard and time-consuming to be solved optimally.

Contents
Introduction
Chapter 1. A Review of Maritime Operations
1.1. Maritime transportation
1.2. Types of ships and cargo
1.3. Containerization
1.4. Handling equipment in seaports
1.5. Optimization of maritime operations
1.6. Conclusion
Chapter 2. Metaheuristic Algorithms
2.1. Basics of metaheuristics
2.2. Simulated annealing algorithm
2.3. Tabu search algorithm
2.4. Genetic algorithms
2.5. Particle swarm optimization
2.6. Ant colony optimization
2.7. Conclusion
Chapter 3. Metaheuristics for Ship Operations
3.1. Ship routing problem
3.2. Green maritime transportations
3.3. Conclusions
Chapter 4. Optimization of Seaside Operations
4.1. Berth allocation problem
4.2. BAP in bulk seaports
4.3. Quay crane scheduling problem
4.4. Integrated berth allocation problem
4.5. Conclusions
Chapter 5. Problems in Yard Operations
5.1. Storage space allocation problem
5.2. Yard crane scheduling
5.3. International transportation
5.4. Integrated storage space allocation problem
5.5. Integrated scheduling of handling equipment
5.6. Conclusions
Conclusion
Bibliography
Index