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Uncertainty In Vehicle Routing Problems
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Book Synopsis Uncertainty in Vehicle Routing Problems by : Radha Gupta
Download or read book Uncertainty in Vehicle Routing Problems written by Radha Gupta and published by LAP Lambert Academic Publishing. This book was released on 2012 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: The stochastic VRP differs from the VRP by the introduction of some element of variability within the system in question. A key difficulty in optimization under uncertainty is in dealing with an uncertainty space that is huge and frequently leads to a very large scale optimization models. Also many decisions, in real life problems are based on information which is both fuzzily imprecise and probabilistically uncertain. Therefore, it is necessary to develop routing and scheduling tools which could handle the uncertainty in every parameter. The main focus of this work is to investigate the variants of an uncertain VRP when general VRP solutions cause some violation when parameters are contaminated with perturbation. This work explores Genetic Algorithm with Fuzzy Logic, a rare but a promising combination, to discover some interesting results not only in single objective VRP but also in multi-objective stochastic VRP's.This book is an attempt to ignite interest in researcher in the field of hard combinatorial optimization problems by introducing new strategies in which a multi-objective stochastic VRP can be effectively handled to give reliable multiple solutions and set of routes.
Download or read book Vehicle Routing written by Paolo Toth and published by SIAM. This book was released on 2014-12-05 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vehicle routing problems, among the most studied in combinatorial optimization, arise in many practical contexts (freight distribution and collection, transportation, garbage collection, newspaper delivery, etc.). Operations researchers have made significant developments in the algorithms for their solution, and Vehicle Routing: Problems, Methods, and Applications, Second Edition reflects these advances. The text of the new edition is either completely new or significantly revised and provides extensive and complete state-of-the-art coverage of vehicle routing by those who have done most of the innovative research in the area; it emphasizes methodology related to specific classes of vehicle routing problems and, since vehicle routing is used as a benchmark for all new solution techniques, contains a complete overview of current solutions to combinatorial optimization problems. It also includes several chapters on important and emerging applications, such as disaster relief and green vehicle routing.
Book Synopsis Vehicle Routing Under Uncertainty by : Tamás Máhr
Download or read book Vehicle Routing Under Uncertainty written by Tamás Máhr and published by . This book was released on 2011 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Fuzzy Sets Based Heuristics for Optimization by : José-Luis Verdegay
Download or read book Fuzzy Sets Based Heuristics for Optimization written by José-Luis Verdegay and published by Springer. This book was released on 2012-11-03 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this volume is to show how Fuzzy Sets and Systems can help to provide robust and adaptive heuristic optimization algorithms in a variety of situations. The book presents the state of the art and gives a broad overview on the real practical applications that Fuzzy Sets, based on heuristic algorithms, have.
Book Synopsis The Vehicle Routing Problem by : Paolo Toth
Download or read book The Vehicle Routing Problem written by Paolo Toth and published by . This book was released on 2002 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optimization Techniques for Problem Solving in Uncertainty by : Tilahun, Surafel Luleseged
Download or read book Optimization Techniques for Problem Solving in Uncertainty written by Tilahun, Surafel Luleseged and published by IGI Global. This book was released on 2018-06-22 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: When it comes to optimization techniques, in some cases, the available information from real models may not be enough to construct either a probability distribution or a membership function for problem solving. In such cases, there are various theories that can be used to quantify the uncertain aspects. Optimization Techniques for Problem Solving in Uncertainty is a scholarly reference resource that looks at uncertain aspects involved in different disciplines and applications. Featuring coverage on a wide range of topics including uncertain preference, fuzzy multilevel programming, and metaheuristic applications, this book is geared towards engineers, managers, researchers, and post-graduate students seeking emerging research in the field of optimization.
Book Synopsis The Vehicle Routing Problem: Latest Advances and New Challenges by : Bruce L. Golden
Download or read book The Vehicle Routing Problem: Latest Advances and New Challenges written by Bruce L. Golden and published by Springer Science & Business Media. This book was released on 2008-07-20 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a unified and carefully developed presentation, this book systematically examines recent developments in VRP. The book focuses on a portfolio of significant technical advances that have evolved over the past few years for modeling and solving vehicle routing problems and VRP variations. Reflecting the most recent scholarship, this book is written by one of the top research scholars in Vehicle Routing and is one of the most important books in VRP to be published in recent times.
Book Synopsis Theory and Practice of Uncertain Programming by : Baoding Liu
Download or read book Theory and Practice of Uncertain Programming written by Baoding Liu and published by Springer. This book was released on 2008-12-28 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-life decisions are usually made in the state of uncertainty such as randomness and fuzziness. How do we model optimization problems in uncertain environments? How do we solve these models? In order to answer these questions, this book provides a self-contained, comprehensive and up-to-date presentation of uncertain programming theory, including numerous modeling ideas, hybrid intelligent algorithms, and applications in system reliability design, project scheduling problem, vehicle routing problem, facility location problem, and machine scheduling problem. Researchers, practitioners and students in operations research, management science, information science, system science, and engineering will find this work a stimulating and useful reference.
Book Synopsis Vehicle Routing and Resource Allocation Under Uncertainty by : Yingtao Ren
Download or read book Vehicle Routing and Resource Allocation Under Uncertainty written by Yingtao Ren and published by LAP Lambert Academic Publishing. This book was released on 2011-09 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, we study optimization models for health care under uncertainty and resource constraints. In particular, we study two problems. The first problem is the multi-shift Vehicle Routing Problem (MSVRP) with overtime to meet around-the-clock demand. We use insertion to create the initial routes and then use tabu search to improve the routes. We show that our algorithm can find high-quality solutions for very large problems. The second problem is a multi-city resource allocation model to distribute the medical supplies in order to minimize the total number of fatalities in an infectious disease outbreak. We consider the problem with uncertainty in the initial number of cases and transmission rate, and build a two-stage stochastic programming model. To solve instances of realistic size we use a heuristic based on Benders decomposition. Finally, we use sample average approximation (SAA) to get confidence intervals on the optimal solution. We illustrate the use of the model and the solution technique in planning an emergency response to a hypothetic national smallpox outbreak. Computations show that the algorithm is efficient and can obtain near-optimal solution.
Book Synopsis Résolution de problèmes de tournées de véhicules réels dans des environnements incertains by : Jorge-Ernesto Mendoza
Download or read book Résolution de problèmes de tournées de véhicules réels dans des environnements incertains written by Jorge-Ernesto Mendoza and published by . This book was released on 2009 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: La conception de tournées de véhicules est partie intégrante des challenges d’efficacité économique ainsi que de responsabilité environnementale de nombre d’entreprises. On retrouve dans le contexte de la recherche opérationnelle cette problématique sous l’expression commune des problèmes de tournées des véhicules (VRP en anglais). Malgré les efforts pour aller en ce sens, les résultats obtenus dans des contextes académiques restent trop souvent peu applicables dans des contextes opérationnels. L'une des raisons à ce constat est la difficulté de transférer les connaissances d’un domaine à un autre. Une autre raison est aussi liée à l’inadéquation des hypothèses généralement adoptées dans des contextes académiques telles que l’incertitude sur les paramètres du problème, les approches classiques du VRP les supposant connues lors de la conception des tournées. Les contributions de la thèse se situent principalement sur ces deux champs. Tout d’abord, de nouvelles méthodes pour le VRP avec durée limitée ont été proposées puis intégrées dans un système d’aide à la décision pour leur mise en oeuvre dans un contexte industriel dans le contexte de distribution d’eau. Ensuite, nos travaux se sont orientés sur la résolution du VRP multi compartiment pour lequel la demande de chaque produit est incertaine : le MC-VRPSD. Le problème consiste à établir des circuits de distribution pour des produits multiples sous contrainte d'incompatibilité nécessitant ainsi des compartiments indépendants. Nos algorithmes reposent sur des approches classiques en recherche opérationnelle que nous avons étendues pour prendre en compte les aspects stochastiques de notre problème. Nous avons aussi développé des approches de type multi objectif pour conjuguer, dans la prise de décision, performance économique et aversion au risque
Book Synopsis Intelligent and Fuzzy Techniques: Smart and Innovative Solutions by : Cengiz Kahraman
Download or read book Intelligent and Fuzzy Techniques: Smart and Innovative Solutions written by Cengiz Kahraman and published by Springer Nature. This book was released on 2020-07-10 with total page 1701 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the most recent developments in fuzzy & intelligence systems and real complex systems presented at INFUS 2020, held in Istanbul on July 21–23, 2020. The INFUS conferences are a well-established international research forum to advance the foundations and applications of intelligent and fuzzy systems, computational intelligence, and soft computing, highlighting studies on fuzzy & intelligence systems and real complex systems at universities and international research institutions. Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making; machine learning; risk assessment; heuristics; and clustering, the book is a valuable resource for academics, M.Sc. and Ph.D. students, as well as managers and engineers in industry and the service sectors.
Book Synopsis Compact Formulations for the Robust Vehicle Routing Problem with Time Windows Under Demand and Travel Time Uncertainty by : Rafael Campos
Download or read book Compact Formulations for the Robust Vehicle Routing Problem with Time Windows Under Demand and Travel Time Uncertainty written by Rafael Campos and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Neutrosophic Genetic Algorithm for solving the Vehicle Routing Problem with uncertain travel times by : Rafael Rojas-Gualdron
Download or read book Neutrosophic Genetic Algorithm for solving the Vehicle Routing Problem with uncertain travel times written by Rafael Rojas-Gualdron and published by Infinite Study. This book was released on 2022-12-01 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Vehicle Routing Problem (VRP) has been extensively studied by different researchers from all over the world in recent years. Multiple solutions have been proposed for different variations of the problem, such as Capacitive Vehicle Routing Problem (CVRP), Vehicle Routing Problem with Time Windows (VRP-TW), Vehicle Routing Problem with Pickup and Delivery (VRPPD), among others, all of them with deterministic times. In the last years, researchers have been interested in including in their different models the variations that travel times may experience when exposed to all kind of phenomena, mainly vehicle traffic. This article addresses the VRP from this perspective, proposing the design and implementation of a genetic algorithm based on neutrosophic theory for calculating the fitness function of each route, considering the variability and uncertainty present in travel times. A deterministic genetic algorithm is also implemented with the average travel times to compare it with the neutrosophic algorithm using simulation. As conclusion, a deterministic algorithm does not necessarily generate the best solution in the real world, full of uncertainty. Also, the quantification of uncertainty using neutrosophic theory can be used in route planning, opening a broad and interesting field of research for future investigations.
Book Synopsis Introduction to Stochastic Programming by : John R. Birge
Download or read book Introduction to Stochastic Programming written by John R. Birge and published by Springer Science & Business Media. This book was released on 2006-04-06 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: This rapidly developing field encompasses many disciplines including operations research, mathematics, and probability. Conversely, it is being applied in a wide variety of subjects ranging from agriculture to financial planning and from industrial engineering to computer networks. This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary analysis, and probability. The authors present a broad overview of the main themes and methods of the subject, thus helping students develop an intuition for how to model uncertainty into mathematical problems, what uncertainty changes bring to the decision process, and what techniques help to manage uncertainty in solving the problems. The early chapters introduce some worked examples of stochastic programming, demonstrate how a stochastic model is formally built, develop the properties of stochastic programs and the basic solution techniques used to solve them. The book then goes on to cover approximation and sampling techniques and is rounded off by an in-depth case study. A well-paced and wide-ranging introduction to this subject.
Download or read book Uncertainty Theory written by Baoding Liu and published by Springer. This book was released on 2014-11-03 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: When no samples are available to estimate a probability distribution, we have to invite some domain experts to evaluate the belief degree that each event will happen. Perhaps some people think that the belief degree should be modeled by subjective probability or fuzzy set theory. However, it is usually inappropriate because both of them may lead to counterintuitive results in this case. In order to rationally deal with belief degrees, uncertainty theory was founded in 2007 and subsequently studied by many researchers. Nowadays, uncertainty theory has become a branch of axiomatic mathematics for modeling belief degrees. This is an introductory textbook on uncertainty theory, uncertain programming, uncertain statistics, uncertain risk analysis, uncertain reliability analysis, uncertain set, uncertain logic, uncertain inference, uncertain process, uncertain calculus, and uncertain differential equation. This textbook also shows applications of uncertainty theory to scheduling, logistics, networks, data mining, control, and finance.
Book Synopsis Robust Capacitated Vehicle Routing Problem with Uncertain Demands by : Marcella Bernardo Papini
Download or read book Robust Capacitated Vehicle Routing Problem with Uncertain Demands written by Marcella Bernardo Papini and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Approximate Dynamic Programming for Dynamic Vehicle Routing by : Marlin Wolf Ulmer
Download or read book Approximate Dynamic Programming for Dynamic Vehicle Routing written by Marlin Wolf Ulmer and published by Springer. This book was released on 2017-04-19 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a straightforward overview for every researcher interested in stochastic dynamic vehicle routing problems (SDVRPs). The book is written for both the applied researcher looking for suitable solution approaches for particular problems as well as for the theoretical researcher looking for effective and efficient methods of stochastic dynamic optimization and approximate dynamic programming (ADP). To this end, the book contains two parts. In the first part, the general methodology required for modeling and approaching SDVRPs is presented. It presents adapted and new, general anticipatory methods of ADP tailored to the needs of dynamic vehicle routing. Since stochastic dynamic optimization is often complex and may not always be intuitive on first glance, the author accompanies the ADP-methodology with illustrative examples from the field of SDVRPs. The second part of this book then depicts the application of the theory to a specific SDVRP. The process starts from the real-world application. The author describes a SDVRP with stochastic customer requests often addressed in the literature, and then shows in detail how this problem can be modeled as a Markov decision process and presents several anticipatory solution approaches based on ADP. In an extensive computational study, he shows the advantages of the presented approaches compared to conventional heuristics. To allow deep insights in the functionality of ADP, he presents a comprehensive analysis of the ADP approaches.
