Examining the optimization problems encountered in today's container terminals, Port Automation and Vehicle Scheduling Third Edition provides advanced algorithms for handling the scheduling of Automated Guided Vehicles (AGVs) in ports.
Examining the optimization problems encountered in today's container terminals, Port Automation and Vehicle Scheduling Third Edition provides advanced algorithms for handling the scheduling of Automated Guided Vehicles (AGVs) in ports.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hassan Rashidi earned a BSc in computer engineering in 1986 and an MSc in systems engineering and planning in 1989 with the highest honors at the Isfahan University of Technology, Isfahan, Iran. He joined the Department of Computer Science, University of Essex, United Kingdom, as a PhD student in 2002 and earned his PhD in 2006. He was a researcher in British Telecom research center in United Kingdom in 2005. He is currently a professor of computer science at Allameh Tabataba'i University, Tehran, Iran, and a visiting academic at the University of Essex. He is an international expert in the applications of the network simplex algorithm to automated vehicle scheduling and has published many conference and journal papers. Edward Tsang has a first degree in business administration (major in finance) and an MSc and a PhD in computer science. He has broad interests in applied artificial intelligence, particularly constraint satisfaction, computational finance, heuristic search, and scheduling. He is currently a professor at the School of Computer Science and Electronic Engineering at the University of Essex, where he leads the computational finance group and the constraint satisfaction and optimization group. He is also the director of the Centre for Computational Finance and Economic Agents, an interdisciplinary center. He founded the Technical Committee for Computational Finance and Economics under the IEEE Computational Intelligence Society.
Inhaltsangabe
1. Introduction PART 1 OPTIMIZATION PROBLEMS FACING MODERN CONTAINER TERMINALS 2. Problems in Container Terminals 3. Formulations of the Problems 4. Solutions to the Decisions: Review and Suggestions PART 2 ADVANCED ALGORITHMS FOR THE SCHEDULING PROBLEM OF AUTOMATED GUIDED VEHICLES 5. Vehicle Scheduling: A Minimum Cost Flow Problem 6. Network Simplex: The Fastest Algorithm 7. Network Simplex Plus: Complete Advanced Algorithm 8. Dynamic Network Simplex: Dynamic Complete Advanced Algorithm 9. Greedy Vehicle Search: An Incomplete Advanced Algorithm 10. Multi-Load and Heterogeneous Vehicles Scheduling: Hybrid Solutions 11. Integrated Management of Equipment in Automated Container Terminals 12. Conclusions and Future Research Appendix: Information on Web
1. Introduction
PART 1 OPTIMIZATION PROBLEMS FACING MODERN CONTAINER TERMINALS
2. Problems in Container Terminals
3. Formulations of the Problems
4. Solutions to the Decisions: Review and Suggestions
PART 2 ADVANCED ALGORITHMS FOR THE SCHEDULING PROBLEM OF AUTOMATED GUIDED VEHICLES
5. Vehicle Scheduling: A Minimum Cost Flow Problem
1. Introduction PART 1 OPTIMIZATION PROBLEMS FACING MODERN CONTAINER TERMINALS 2. Problems in Container Terminals 3. Formulations of the Problems 4. Solutions to the Decisions: Review and Suggestions PART 2 ADVANCED ALGORITHMS FOR THE SCHEDULING PROBLEM OF AUTOMATED GUIDED VEHICLES 5. Vehicle Scheduling: A Minimum Cost Flow Problem 6. Network Simplex: The Fastest Algorithm 7. Network Simplex Plus: Complete Advanced Algorithm 8. Dynamic Network Simplex: Dynamic Complete Advanced Algorithm 9. Greedy Vehicle Search: An Incomplete Advanced Algorithm 10. Multi-Load and Heterogeneous Vehicles Scheduling: Hybrid Solutions 11. Integrated Management of Equipment in Automated Container Terminals 12. Conclusions and Future Research Appendix: Information on Web
1. Introduction
PART 1 OPTIMIZATION PROBLEMS FACING MODERN CONTAINER TERMINALS
2. Problems in Container Terminals
3. Formulations of the Problems
4. Solutions to the Decisions: Review and Suggestions
PART 2 ADVANCED ALGORITHMS FOR THE SCHEDULING PROBLEM OF AUTOMATED GUIDED VEHICLES
5. Vehicle Scheduling: A Minimum Cost Flow Problem
