Hybrid Population Based Optimization Algorithm For The Urban Transit Routing Problem

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Hybrid Population Based Optimization Algorithm for the Urban Transit Routing Problem

Author : Christina Iliopoulou
Publisher :
ISBN 13 : 9781339064796
Total Pages : pages
Book Rating : 4.0/5 (647 download)

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Book Synopsis Hybrid Population Based Optimization Algorithm for the Urban Transit Routing Problem by : Christina Iliopoulou

Download or read book Hybrid Population Based Optimization Algorithm for the Urban Transit Routing Problem written by Christina Iliopoulou and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Deception in Autonomous Transport Systems

Author : Simon Parkinson
Publisher : Springer Nature
ISBN 13 : 3031550447
Total Pages : 196 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Deception in Autonomous Transport Systems by : Simon Parkinson

Download or read book Deception in Autonomous Transport Systems written by Simon Parkinson and published by Springer Nature. This book was released on with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Genetic Algorithms for Urban Transit Routing Problems

Author : Joanne Suk Chun Chew
Publisher :
ISBN 13 :
Total Pages : 220 pages
Book Rating : 4.:/5 (975 download)

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Book Synopsis Genetic Algorithms for Urban Transit Routing Problems by : Joanne Suk Chun Chew

Download or read book Genetic Algorithms for Urban Transit Routing Problems written by Joanne Suk Chun Chew and published by . This book was released on 2012 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Hybrid Optimization in Urban Traffic Networks

Author : Han-Ngee Tan
Publisher :
ISBN 13 :
Total Pages : 128 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Hybrid Optimization in Urban Traffic Networks by : Han-Ngee Tan

Download or read book Hybrid Optimization in Urban Traffic Networks written by Han-Ngee Tan and published by . This book was released on 1979 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Public Transit Planning and Operation

Author : Avishai Ceder
Publisher : CRC Press
ISBN 13 : 1466563923
Total Pages : 730 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Public Transit Planning and Operation by : Avishai Ceder

Download or read book Public Transit Planning and Operation written by Avishai Ceder and published by CRC Press. This book was released on 2016-03-09 with total page 730 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addresses the Challenges Facing Public Transport Policy Makers and OperatorsPublic Transit Planning and Operation: Modeling, Practice and Behavior, Second Edition offers new solutions for delivering both better services and greater efficiency, solutions which have been developed and tested by the author in over thirty years of research work with ma

Network Optimization

Author : Panos M. Pardalos
Publisher : Springer Science & Business Media
ISBN 13 : 3642591795
Total Pages : 495 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Network Optimization by : Panos M. Pardalos

Download or read book Network Optimization written by Panos M. Pardalos and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: Network optimization is important in the modeling of problems and processes from such fields as engineering, computer science, operations research, transportation, telecommunication, decision support systems, manufacturing, and airline scheduling. Recent advances in data structures, computer technology, and algorithm development have made it possible to solve classes of network optimization problems that until recently were intractable. The refereed papers in this volume reflect the interdisciplinary efforts of a large group of scientists from academia and industry to model and solve complicated large-scale network optimization problems.

Hybrid Predictive Control for Dynamic Transport Problems

Author : Alfredo Nunez
Publisher : Springer Science & Business Media
ISBN 13 : 1447143515
Total Pages : 183 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Hybrid Predictive Control for Dynamic Transport Problems by : Alfredo Nunez

Download or read book Hybrid Predictive Control for Dynamic Transport Problems written by Alfredo Nunez and published by Springer Science & Business Media. This book was released on 2012-10-03 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid Predictive Control for Dynamic Transport Problems develops methods for the design of predictive control strategies for nonlinear-dynamic hybrid discrete-/continuous-variable systems. The methodology is designed for real-time applications, particularly the study of dynamic transport systems. Operational and service policies are considered, as well as cost reduction. The control structure is based on a sound definition of the key variables and their evolution. A flexible objective function able to capture the predictive behaviour of the system variables is described. Coupled with efficient algorithms, mainly drawn from area of computational intelligence, this is shown to optimize performance indices for real-time applications. The framework of the proposed predictive control methodology is generic and, being able to solve nonlinear mixed integer optimization problems dynamically, is readily extendable to other industrial processes. The main topics of this book are: · hybrid predictive control (HPC) design based on evolutionary multiobjective optimization (EMO); · HPC based on EMO for dial-a-ride systems; and · HPC based on EMO for operational decisions in public transport systems. Hybrid Predictive Control for Dynamic Transport Problems is a comprehensive analysis of HPC and its application to dynamic transport systems. Introductory material on evolutionary algorithms is presented in summary in an appendix. The text will be of interest to control and transport engineers working on the operational optimization of transport systems and to academic researchers working with hybrid systems. The potential applications of the generic methods presented here to other process fields will make the book of interest to a wider group of researchers, scientists and graduate students working in other control-related disciplines.

GeoComputation, Second Edition

Author : Robert J. Abrahart
Publisher : CRC Press
ISBN 13 : 1466503289
Total Pages : 480 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis GeoComputation, Second Edition by : Robert J. Abrahart

Download or read book GeoComputation, Second Edition written by Robert J. Abrahart and published by CRC Press. This book was released on 2014-06-23 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: A revision of Openshaw and Abrahart’s seminal work, GeoComputation, Second Edition retains influences of its originators while also providing updated, state-of-the-art information on changes in the computational environment. In keeping with the field’s development, this new edition takes a broader view and provides comprehensive coverage across the field of GeoComputation. See What’s New in the Second Edition: Coverage of ubiquitous computing, the GeoWeb, reproducible research, open access, and agent-based modelling Expanded chapter on Genetic Programming and a separate chapter developed on Evolutionary Algorithms Ten chapters updated by the same or new authors and eight new chapters added to reflect state of the art Each chapter is a stand-alone entity that covers a particular topic. You can simply dip in and out or read it from cover to cover. The opening chapter by Stan Openshaw has been preserved, with only a limited number of minor essential modifications having been enacted. This is not just a matter of respect. Openshaw’s work is eloquent, prophetic, and his overall message remains largely unchanged. In contrast to other books on this subject, GeoComputation: Second Edition supplies a state-of-the-art review of all major areas in GeoComputation with chapters written especially for this book by invited specialists. This approach helps develop and expand a computational culture, one that can exploit the ever-increasing richness of modern geographical and geospatial datasets. It also supplies an instructional guide to be kept within easy reach for regular access and when need arises.

Advances in Swarm Intelligence

Author : Ying Tan
Publisher : Springer Nature
ISBN 13 : 3031366220
Total Pages : 502 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Advances in Swarm Intelligence by : Ying Tan

Download or read book Advances in Swarm Intelligence written by Ying Tan and published by Springer Nature. This book was released on 2023-07-07 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 13968 and 13969 constitutes the proceedings of the 14th International Conference on Advances in Swarm Intelligence, ICSI 2023, which took place in Shenzhen, China, China, in July 2023. The theme of this year’s conference was “Serving Life with Swarm Intelligence”. The 81 full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized into 12 cohesive sections covering major topics of swarm intelligence research and its development and applications. The papers of the first part cover topics such as: Swarm Intelligence Computing; Swarm Intelligence Optimization Algorithms; Particle Swarm Optimization Algorithms; Genetic Algorithms; Optimization Computing Algorithms; Neural Network Search & Large-Scale Optimization; Multi-objective Optimization.

Urban Transportation Networks

Author : Yosef Sheffi
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 426 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Urban Transportation Networks by : Yosef Sheffi

Download or read book Urban Transportation Networks written by Yosef Sheffi and published by Prentice Hall. This book was released on 1984 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Hybrid Genetic Algorithm for Multi-depot and Periodic Vehicle Routing Problems

Author :
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (938 download)

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Book Synopsis A Hybrid Genetic Algorithm for Multi-depot and Periodic Vehicle Routing Problems by :

Download or read book A Hybrid Genetic Algorithm for Multi-depot and Periodic Vehicle Routing Problems written by and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Extremal Optimization

Author : Yong-Zai Lu
Publisher : CRC Press
ISBN 13 : 1315360071
Total Pages : 278 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Extremal Optimization by : Yong-Zai Lu

Download or read book Extremal Optimization written by Yong-Zai Lu and published by CRC Press. This book was released on 2018-09-03 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extremal Optimization: Fundamentals, Algorithms, and Applications introduces state-of-the-art extremal optimization (EO) and modified EO (MEO) solutions from fundamentals, methodologies, and algorithms to applications based on numerous classic publications and the authors’ recent original research results. It promotes the movement of EO from academic study to practical applications. The book covers four aspects, beginning with a general review of real-world optimization problems and popular solutions with a focus on computational complexity, such as "NP-hard" and the "phase transitions" occurring on the search landscape. Next, it introduces computational extremal dynamics and its applications in EO from principles, mechanisms, and algorithms to the experiments on some benchmark problems such as TSP, spin glass, Max-SAT (maximum satisfiability), and graph partition. It then presents studies on the fundamental features of search dynamics and mechanisms in EO with a focus on self-organized optimization, evolutionary probability distribution, and structure features (e.g., backbones), which are based on the authors’ recent research results. Finally, it discusses applications of EO and MEO in multiobjective optimization, systems modeling, intelligent control, and production scheduling. The authors present the advanced features of EO in solving NP-hard problems through problem formulation, algorithms, and simulation studies on popular benchmarks and industrial applications. They also focus on the development of MEO and its applications. This book can be used as a reference for graduate students, research developers, and practical engineers who work on developing optimization solutions for those complex systems with hardness that cannot be solved with mathematical optimization or other computational intelligence, such as evolutionary computations.

Automation and Control

Author : Elmer P. Dadios
Publisher : BoD – Books on Demand
ISBN 13 : 1839691735
Total Pages : 142 pages
Book Rating : 4.8/5 (396 download)

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Book Synopsis Automation and Control by : Elmer P. Dadios

Download or read book Automation and Control written by Elmer P. Dadios and published by BoD – Books on Demand. This book was released on 2022-05-25 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in automation and control today cover many areas of technology where human input is minimized. This book discusses numerous types and applications of automation and control. Chapters address topics such as building information modeling (BIM)–based automated code compliance checking (ACCC), control algorithms useful for military operations and video games, rescue competitions using unmanned aerial-ground robots, and stochastic control systems.

An Optimization Algorithm for the Vehicle Routing Problem with Time Windows Based on Lagrangean Relaxation

Author : Niklas Kohl
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (477 download)

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Book Synopsis An Optimization Algorithm for the Vehicle Routing Problem with Time Windows Based on Lagrangean Relaxation by : Niklas Kohl

Download or read book An Optimization Algorithm for the Vehicle Routing Problem with Time Windows Based on Lagrangean Relaxation written by Niklas Kohl and published by . This book was released on 1993 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Smart and Digital Cities

Author : Vitor Nazário Coelho
Publisher : Springer
ISBN 13 : 3030122557
Total Pages : 311 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Smart and Digital Cities by : Vitor Nazário Coelho

Download or read book Smart and Digital Cities written by Vitor Nazário Coelho and published by Springer. This book was released on 2019-05-16 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents up-to-date information on the future digital and smart cities. In particular, it describes novel insights about the use of computational intelligence techniques and decentralized technologies, covering urban aspects and services, cities governance and social sciences. The topics covered here range from state-of-the-art computational techniques to current discussions regarding drones, blockchain, smart contracts and cryptocurrencies. The idealization of this material emerged with a journey of free knowledge exchange from a diverse group of authors, who met each other through four different events (workshops and special sessions) organized with the purpose of boosting the concepts surrounding smart cities. We believe that this book comprises innovative and precise information regarding state-of-the-art applications and ideas for the future of cities and society. It will surely be useful not only for the academic community but also to the industry professionals and city managers.

Advances in Swarm and Computational Intelligence

Author : Ying Tan
Publisher : Springer
ISBN 13 : 3319204661
Total Pages : 612 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Advances in Swarm and Computational Intelligence by : Ying Tan

Download or read book Advances in Swarm and Computational Intelligence written by Ying Tan and published by Springer. This book was released on 2015-06-01 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book and its companion volumes, LNCS volumes 9140, 9141 and 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015. The 161 revised full papers presented were carefully reviewed and selected from 294 submissions. The papers are organized in 28 cohesive sections covering all major topics of swarm intelligence and computational intelligence research and development, such as novel swarm-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid methods; multi-objective optimization; multi-agent systems and swarm robotics; Neural networks and fuzzy methods; data mining approaches; information security; automation control; combinatorial optimization algorithms; scheduling and path planning; machine learning; blind sources separation; swarm interaction behavior; parameters and system optimization; neural networks; evolutionary and genetic algorithms; fuzzy systems; forecasting algorithms; classification; tracking analysis; simulation; image and texture analysis; dimension reduction; system optimization; segmentation and detection system; machine translation; virtual management and disaster analysis.

Handbook of Heuristics

Author : Rafael Martí
Publisher : Springer
ISBN 13 : 9783319071237
Total Pages : 3000 pages
Book Rating : 4.0/5 (712 download)

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Book Synopsis Handbook of Heuristics by : Rafael Martí

Download or read book Handbook of Heuristics written by Rafael Martí and published by Springer. This book was released on 2017-01-16 with total page 3000 pages. Available in PDF, EPUB and Kindle. Book excerpt: Heuristics are strategies using readily accessible, loosely applicable information to control problem solving. Algorithms, for example, are a type of heuristic. By contrast, Metaheuristics are methods used to design Heuristics and may coordinate the usage of several Heuristics toward the formulation of a single method. GRASP (Greedy Randomized Adaptive Search Procedures) is an example of a Metaheuristic. To the layman, heuristics may be thought of as ‘rules of thumb’ but despite its imprecision, heuristics is a very rich field that refers to experience-based techniques for problem-solving, learning, and discovery. Any given solution/heuristic is not guaranteed to be optimal but heuristic methodologies are used to speed up the process of finding satisfactory solutions where optimal solutions are impractical. The introduction to this Handbook provides an overview of the history of Heuristics along with main issues regarding the methodologies covered. This is followed by Chapters containing various examples of local searches, search strategies and Metaheuristics, leading to an analyses of Heuristics and search algorithms. The reference concludes with numerous illustrations of the highly applicable nature and implementation of Heuristics in our daily life. Each chapter of this work includes an abstract/introduction with a short description of the methodology. Key words are also necessary as part of top-matter to each chapter to enable maximum search engine optimization. Next, chapters will include discussion of the adaptation of this methodology to solve a difficult optimization problem, and experiments on a set of representative problems.