Port Automation and Vehicle Scheduling: Advanced Algorithms for Scheduling Problems of AGVs

Container terminals are constantly being challenged to adjust their throughput capacity to match fluctuating demand. Examining the optimization problems encountered in today's container terminals, Port Automation and Vehicle Scheduling: Advanced Algorithms for Scheduling Problems of AGVs, Third Edition provides advanced algorithms for handling the scheduling of Automated Guided Vehicles (AGVs) in ports.

Building on the earlier editions, previously titled Vehicle Scheduling in Port Automation: Advanced Algorithms for Minimum Cost Flow Problems, this book has undergone extensive revisions and includes two new chapters. New material addresses the solutions to the modeling of decisions in Chapter 3, while in Chapter 11 the authors address an emerging challenge in automated container terminals with integrated management.

• Classifies the optimization problems of the ports into five scheduling decisions. For each decision, it supplies an overview, formulates each of the decisions as constraint satisfaction and optimization problems, and then covers possible solutions, implementation, and performance.
• Explores in Part One of the book the various optimization problems in modern container terminals, while details in Part Two advanced algorithms for the minimum cost flow (MCF) problem and for the scheduling problem of AGVs in ports.
• Offers complete package that can help readers address the scheduling problems of AGVs in ports.

This is a valuable reference for port authorities and researchers, including specialists and graduate students in operation research. For specialists, it provides novel and efficient algorithms for network flow problems. For students, it supplies the most comprehensive survey of the field along with a rigorous formulation of the problems in port automation.

集裝箱碼頭不斷面臨調整吞吐能力以應對波動的需求的挑戰。《Port Automation and Vehicle Scheduling: Advanced Algorithms for Scheduling Problems of AGVs, Third Edition》探討了當今集裝箱碼頭遇到的優化問題，提供了處理港口自動導引車（AGVs）排程的先進算法。

本書在之前的版本《Vehicle Scheduling in Port Automation: Advanced Algorithms for Minimum Cost Flow Problems》的基礎上進行了廣泛修訂，並新增了兩章。新的內容涵蓋了第三章中的決策建模解決方案，以及第十一章中關於集成管理的自動化集裝箱碼頭所面臨的新挑戰。

主要特點：
- 將港口的優化問題分為五個排程決策，為每個決策提供概述，將每個決策制定為滿足約束條件和優化問題，然後介紹可能的解決方案、實施方法和性能。
- 在第一部分中探討現代集裝箱碼頭中的各種優化問題，第二部分詳細介紹了最小成本流（MCF）問題和港口AGVs排程問題的先進算法。
- 提供完整的解決方案，幫助讀者解決港口AGVs排程問題。

這本書對於港口當局和研究人員，包括運營研究的專家和研究生，都是一個有價值的參考資料。對於專家來說，它提供了網絡流問題的新穎高效算法。對於學生來說，它提供了該領域最全面的調查，以及對港口自動化問題的嚴謹表述。

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.

Hassan Rashidi於1986年在伊朗伊斯法罕科技大學獲得計算機工程學士學位，並於1989年以最高榮譽獲得系統工程和規劃碩士學位。他於2002年加入英國埃塞克斯大學計算機科學系攻讀博士學位，並於2006年獲得博士學位。他於2005年在英國英國電信研究中心擔任研究員。他目前是伊朗德黑蘭阿拉米塔巴塔伊大學計算機科學教授，並在埃塞克斯大學擔任訪問學者。他是將網絡單純形算法應用於自動車排程的國際專家，並發表了許多會議和期刊論文。

Edward Tsang擁有工商管理學士學位（金融專業），並獲得計算機科學碩士和博士學位。他對應用人工智能，特別是約束滿足、計算金融、啟發式搜索和排程等領域有廣泛的興趣。他目前是英國埃塞克斯大學計算機科學與電子工程學院的教授，領導計算金融組和約束滿足與優化組。他還是計算金融與經濟代理中心的主任，這是一個跨學科中心。他創立了IEEE計算智能學會下的計算金融與經濟技術委員會。