Designing Multimodal Public Transport Networks Using Metaheuristics
Download Designing Multimodal Public Transport Networks Using Metaheuristics full books in PDF, epub, and Kindle. Read online free Designing Multimodal Public Transport Networks Using Metaheuristics ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Yunmook Nah |
| Publisher | : Springer Nature |
| Total Pages | : 789 |
| Release | : 2020-09-21 |
| Genre | : Computers |
| ISBN | : 3030594165 |
The 4 volume set LNCS 12112-12114 constitutes the papers of the 25th International Conference on Database Systems for Advanced Applications which will be held online in September 2020. The 119 full papers presented together with 19 short papers plus 15 demo papers and 4 industrial papers in this volume were carefully reviewed and selected from a total of 487 submissions. The conference program presents the state-of-the-art R&D activities in database systems and their applications. It provides a forum for technical presentations and discussions among database researchers, developers and users from academia, business and industry.
| Author | : BMW Group |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 292 |
| Release | : 2013-01-13 |
| Genre | : Political Science |
| ISBN | : 3642347355 |
What determines how cities move on? The ever-increasing challenges to urban mobility come in many forms, and approaches to address them range from the technically ingenious to attempts to change travel behaviour. Key amongst factors essential to the success of any such approach is whether the urban environment proves to be fertile ground for the desired progress. Another vital determinant of success is how well individual measures to engineer the transport system interact with other developments. This leads to the principal subject of Megacity Mobility Culture: the basic principles that determine the paths along which cities move. This book demonstrates that the concept of ‘mobility culture’ provides a framework for understanding the development of urban transport which transcends the boundaries between academic disciplines. Based on a discussion of the diversity of megacities worldwide, it provides help in navigating the complexity of megacity mobility culture. Experts from megacities around the world each take the reader on a journey to their own city and its mobility culture, giving a deeper insight into the unique evolutionary paths of mobility that these places have taken, and what lies before them. Whilst acknowledging the overwhelming diversity of cities worldwide, the authors also identify common denominators behind the evolution of urban transport systems – seven temperaments which are found in a unique mix in any given city, defining the character of its mobility culture. The Institute for Mobility Research is a research facility of the BMW Group. It deals with future developments and challenges relating to mobility across all modes of transport, with automobility being only one aspect among many. Taking on an international perspective, ifmo’s activities focus on social science and sociopolitical, economic and ecological issues, but also extend to cultural questions related to the key challenges facing the future of mobility. The work of the Institute is supported by an interdisciplinary board of renowned scientists and scholars, and by representatives of BMW, Deutsche Bahn, Lufthansa, MAN, Siemens and The World Bank.
| Author | : Jiuping Xu |
| Publisher | : Taylor & Francis |
| Total Pages | : 186 |
| Release | : 2023-12-22 |
| Genre | : Business & Economics |
| ISBN | : 1003830692 |
This book introduces and analyses recent trends and studies of sustainable logistics systems using AI-based meta-heuristics approaches, including AI-based meta-heuristics applied to supply chain network models, integrated multi-criteria decision-making approaches for green supply chain management, uncertain supply chain models etc. It emphasizes both theory and practice, providing methodological and theoretical basis as well as case references for sustainable logistics systems using AI based meta-heuristics. Most of multi-national enterprises today face the challenge of sustainable development for their logistics systems trying to meet or exceed customer expectations. Sustainable development attracts both researchers and industrial practitioners who are focused on the design and implementation of logistics system. AI-based meta-heuristics approaches has emerged as a capable method for quickly providing optimal or near-optimal solutions for the problems that exact optimization cannot solve. Recent advances in various AI-based meta-heuristics approaches can resolve various and complex logistics and supply chain problem types. This book mainly encompasses the most popular and frequently employed AI-based meta-heuristics approaches such as genetic algorithm, variable neighborhood search, multi-objective heuristic search and the hybrid of these approaches. The chapters in this book were originally published in the International Journal of Management Science and Engineering Management.
| Author | : Anand J. Kulkarni |
| Publisher | : CRC Press |
| Total Pages | : 419 |
| Release | : 2021-09-01 |
| Genre | : Computers |
| ISBN | : 1000434249 |
At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.
| 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.
| Author | : |
| Publisher | : Elsevier |
| Total Pages | : 4418 |
| Release | : 2021-05-13 |
| Genre | : Law |
| ISBN | : 0081026722 |
In an increasingly globalised world, despite reductions in costs and time, transportation has become even more important as a facilitator of economic and human interaction; this is reflected in technical advances in transportation systems, increasing interest in how transportation interacts with society and the need to provide novel approaches to understanding its impacts. This has become particularly acute with the impact that Covid-19 has had on transportation across the world, at local, national and international levels. Encyclopedia of Transportation, Seven Volume Set - containing almost 600 articles - brings a cross-cutting and integrated approach to all aspects of transportation from a variety of interdisciplinary fields including engineering, operations research, economics, geography and sociology in order to understand the changes taking place. Emphasising the interaction between these different aspects of research, it offers new solutions to modern-day problems related to transportation. Each of its nine sections is based around familiar themes, but brings together the views of experts from different disciplinary perspectives. Each section is edited by a subject expert who has commissioned articles from a range of authors representing different disciplines, different parts of the world and different social perspectives. The nine sections are structured around the following themes: Transport Modes; Freight Transport and Logistics; Transport Safety and Security; Transport Economics; Traffic Management; Transport Modelling and Data Management; Transport Policy and Planning; Transport Psychology; Sustainability and Health Issues in Transportation. Some articles provide a technical introduction to a topic whilst others provide a bridge between topics or a more future-oriented view of new research areas or challenges. The end result is a reference work that offers researchers and practitioners new approaches, new ways of thinking and novel solutions to problems. All-encompassing and expertly authored, this outstanding reference work will be essential reading for all students and researchers interested in transportation and its global impact in what is a very uncertain world. Provides a forward looking and integrated approach to transportation Updated with future technological impacts, such as self-driving vehicles, cyber-physical systems and big data analytics Includes comprehensive coverage Presents a worldwide approach, including sets of comparative studies and applications
| Author | : Teodor Gabriel Crainic |
| Publisher | : Springer Nature |
| Total Pages | : 506 |
| Release | : |
| Genre | : |
| ISBN | : 3031576039 |
| Author | : Xin-She Yang |
| Publisher | : Newnes |
| Total Pages | : 577 |
| Release | : 2013-01-31 |
| Genre | : Technology & Engineering |
| ISBN | : 0123983797 |
Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low-cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are commonly large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems. This book examines the latest developments of metaheuristics and their applications in structural engineering, construction engineering and earthquake engineering, offering practical case studies as examples to demonstrate real-world applications. Topics cover a range of areas within engineering, including big bang-big crunch approach, genetic algorithms, genetic programming, harmony search, swarm intelligence and some other metaheuristic methods. Case studies include structural identification, vibration analysis and control, topology optimization, transport infrastructure design, design of reinforced concrete, performance-based design of structures and smart pavement management. With its wide range of everyday problems and solutions, Metaheursitic Applications in Structures and Infrastructures can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheuristics, optimization in civil engineering and computational intelligence. - Review of the latest development of metaheuristics in engineering. - Detailed algorithm descriptions with focus on practical implementation. - Uses practical case studies as examples and applications.
| Author | : Sunil Kumar Sharma |
| Publisher | : Springer Nature |
| Total Pages | : 394 |
| Release | : |
| Genre | : |
| ISBN | : 9819704375 |
| Author | : Millie Pant |
| Publisher | : Springer Nature |
| Total Pages | : 942 |
| Release | : |
| Genre | : |
| ISBN | : 9819731801 |
