Metaheuristics For Designing Efficient Routes Schedules For Urban Transportation Networks
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Computational Logistics
| Author | : Eduardo Lalla-Ruiz |
| Publisher | : Springer Nature |
| Total Pages | : 780 |
| Release | : 2020-09-26 |
| Genre | : Computers |
| ISBN | : 3030597474 |
This book constitutes the proceedings of the 11th International Conference on Computational Logistics, ICCL 2020, held in Enschede, The Netherlands, in September 2020. The 49 papers included in this book were carefully reviewed and selected from 73 submissions. They were organized in topical sections named: maritime and port logistics; vehicle routing and scheduling; freight distribution and city logistics; network design and scheduling; and selected topics in logistics. Due to the Corona pandemic ICCL 2020 was held as a virtual event.
Advances in Computing
| Author | : Jairo E. Serrano C. |
| Publisher | : Springer |
| Total Pages | : 527 |
| Release | : 2018-09-17 |
| Genre | : Computers |
| ISBN | : 3319989987 |
This book constitutes the refereed proceedings of the 13th Colombian Conference on Computing, CCC 2018, held in Cartagena, Colombia, in September 2018. The 46 revised full papers presented were carefully reviewed and selected from 194 submissions. The papers deal with the following topics: information and knowledge management, software engineering and IT architectures, educational informatics, intelligent systems and robotics, human-computer interaction, distributed systems and large-scale architectures, image processing, computer vision and multimedia, security of the information, formal methods, computational logic, and theory of computation.
Hybrid Population Based Optimization Algorithm for the Urban Transit Routing Problem
| Author | : Christina Iliopoulou |
| Publisher | : |
| Total Pages | : |
| Release | : 2015 |
| Genre | : |
| ISBN | : 9781339064796 |
The problem that formally describes the overall planning process for a public transportation network is referred to as the Urban Transit Network Design Problem (UTNDP) and has two major components, namely routing and scheduling. This network design problem is a difficult combinatorial optimization problem that belongs to a class of problems known as NP-hard. This thesis develops a hybrid population based optimization method for the Urban Transit Routing Problem, which is the first component of the UTNDP, where the routes of a transit network are designed to meet a number of requirements such as low average passenger travel time and number of transfers. Herein, a discrete version of the Particle Swarm Optimization method is hybridized with evolution operators from Genetic Algorithms in order to determine near optimal routes for an urban transit network. The performance of the algorithm is tested using Mandl's Swiss bus network, a benchmark network used in bus transit network design, and compared with the most recent and efficient methods from the literature. The parameters producing the best values are found and sensitivity analyses are conducted. Results show that the algorithm is capable of creating routes that satisfy the demand in an acceptable computational time, yielding superior results over existing methods.
Learning and Intelligent Optimization
| Author | : Dimitris E. Simos |
| Publisher | : Springer Nature |
| Total Pages | : 423 |
| Release | : 2021-12-08 |
| Genre | : Mathematics |
| ISBN | : 3030921212 |
This book constitutes the refereed post-conference proceedings on Learning and Intelligent Optimization, LION 15, held in Athens, Greece, in June 2021. The 30 full papers presented have been carefully reviewed and selected from 35 submissions. LION deals with designing and engineering ways of "learning" about the performance of different techniques, and ways of using past experience about the algorithm behavior to improve performance in the future. Intelligent learning schemes for mining the knowledge obtained online or offline can improve the algorithm design process and simplify the applications of high-performance optimization methods. Combinations of different algorithms can further improve the robustness and performance of the individual components.
Network Design with Applications to Transportation and Logistics
| Author | : Teodor Gabriel Crainic |
| Publisher | : Springer Nature |
| Total Pages | : 668 |
| Release | : 2021-07-16 |
| Genre | : Business & Economics |
| ISBN | : 3030640183 |
This book explores the methodological and application developments of network design in transportation and logistics. It identifies trends, challenges and research perspectives in network design for these areas. Network design is a major class of problems in operations research where network flow, combinatorial and mixed integer optimization meet. The analysis and planning of transportation and logistics systems continues to be one of the most important application areas of operations research. Networks provide the natural way of depicting such systems, so the optimal design and operation of networks is the main methodological area of operations research that is used for the analysis and planning of these systems. This book defines the current state of the art in the general area of network design, and then turns to its applications to transportation and logistics. New research challenges are addressed. Network Design with Applications to Transportation and Logistics is divided into three parts. Part I examines basic design problems including fixed-cost network design and parallel algorithms. After addressing the basics, Part II focuses on more advanced models. Chapters cover topics such as multi-facility network design, flow-constrained network design, and robust network design. Finally Part III is dedicated entirely to the potential application areas for network design. These areas range from rail networks, to city logistics, to energy transport. All of the chapters are written by leading researchers in the field, which should appeal to analysts and planners.
Metaheuristics for Maritime Operations
| Author | : S. Mahdi Homayouni |
| Publisher | : John Wiley & Sons |
| Total Pages | : 188 |
| Release | : 2018-04-16 |
| Genre | : Computers |
| ISBN | : 1119522609 |
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.
Urban Transportation and Logistics
| Author | : Eiichi Taniguchi |
| Publisher | : CRC Press |
| Total Pages | : 282 |
| Release | : 2013-12-13 |
| Genre | : Business & Economics |
| ISBN | : 1482209098 |
Although society has become increasingly dependent on the timely operation of logistics systems, we still face many problems regarding efficiency, the environment, energy consumption, and safety in urban transport and logistics—under normal cases and in disasters. As such, understanding how to address these challenges has become essential for creating better urban planning and policy implementation. Presenting the best practices of leading experts from around the world, Urban Transportation and Logistics: Health, Safety, and Security Concerns provides cutting-edge concepts and a vision for urban transport and logistics relating to human security. Its comprehensive coverage supplies the foundation for examining transport and logistics systems in urban areas from the viewpoint of safety and security considerations on human life. Topics covered include: Hazardous material transport Healthy transport Road safety Network design for freight transport and supply chain Transport and logistics in Asian cities Vehicle routing and scheduling with uncertainty Urban transport and logistics in natural disasters Future perspectives on urban freight transport The book addresses Information and Communication Technologies (ICT) and Intelligent Transport System (ITS) applications within urban logistics. It considers supply chains, road safety in hazardous material transport, and logistics and transport design in mixed traffic areas. It also introduces the notion of the megalopolis and the need for improved planning relative to human usage, freight transportation, and city logistic planning. This book provides numerous examples and case studies of real-world scenarios from around the world, making it useful for both practitioners and researchers involved in urban transport and logistics planning.
Sustainable Transportation and Smart Logistics
| Author | : Javier Faulin |
| Publisher | : Elsevier |
| Total Pages | : 536 |
| Release | : 2018-11-13 |
| Genre | : Transportation |
| ISBN | : 012814243X |
Sustainable Transportation and Smart Logistics: Decision-Making Models and Solutions provides deterministic and probabilistic models for transportation logistics problem-solving and decision-making. The book presents an overview of the intersections between sustainability, transportation, and logistics, and delves into the current problems associated with the implementation of sustainable transportation and smart logistics in urban settings. It also offers models for addressing complex structural problems and procedures for estimating transportation externalities such as environmental and social impacts, both in industrial and government arenas, as well as decision-making models from operational, tactical, and strategic management perspectives. Sustainable Transportation and Smart Logistics also covers best practices for practical corporate policy implementation, making it a comprehensive and vital resource for researchers, graduate students, practitioners, and policy makers in transportation, logistics, urban planning, economics, engineering, and environmental science. Examines various modes of transportation Includes mathematical models for decision-making in a wide variety of situations Presents public transportation and smart cities use cases
Metaheuristics and Optimization in Computer and Electrical Engineering
| Author | : Navid Razmjooy |
| Publisher | : Springer Nature |
| Total Pages | : 311 |
| Release | : 2020-11-16 |
| Genre | : Technology & Engineering |
| ISBN | : 3030566897 |
The use of artificial intelligence, especially in the field of optimization is increasing day by day. The purpose of this book is to explore the possibility of using different kinds of optimization algorithms to advance and enhance the tools used for computer and electrical engineering purposes.
