Making Multi Objective And Fuzzy Transportation More Efficient
Download Making Multi Objective And Fuzzy Transportation More Efficient full books in PDF, epub, and Kindle. Read online free Making Multi Objective And Fuzzy Transportation More Efficient ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads.
Author |
: Muralidaran M |
Publisher |
: |
Total Pages |
: 0 |
Release |
: 2023-09-10 |
ISBN-10 |
: 9796144344 |
ISBN-13 |
: 9789796144341 |
Rating |
: 4/5 (44 Downloads) |
Synopsis Making Multi Objective and Fuzzy Transportation More Efficient by : Muralidaran M
"Optimizing Multi-Objective and Fuzzy Transportation" explores cutting-edge approaches to address complex transportation problems that involve multiple conflicting objectives and uncertainties represented using fuzzy logic. This multidisciplinary field combines elements of operations research, optimization, and fuzzy set theory to provide practical solutions for real-world transportation challenges. In today's dynamic and interconnected world, transportation networks are becoming increasingly complex, necessitating innovative optimization techniques. This book delves into the intricacies of multi-objective optimization, where decision-makers must balance conflicting objectives such as cost minimization, time efficiency, and environmental sustainability. Moreover, it addresses the inherent uncertainties in transportation systems by employing fuzzy logic to model and analyze imprecise information. Readers will gain insights into state-of-the-art methodologies, algorithms, and case studies, showcasing how these tools can be applied to diverse transportation scenarios. From supply chain management and urban transportation planning to logistics and distribution, this book offers valuable guidance for practitioners, researchers, and students seeking to optimize transportation systems under multiple objectives and fuzzy conditions. "Optimizing Multi-Objective and Fuzzy Transportation" is a comprehensive resource that bridges the gap between theory and practice, fostering innovative solutions for the ever-evolving challenges in transportation optimization.
Author |
: Shyamali Ghosh |
Publisher |
: Infinite Study |
Total Pages |
: 30 |
Release |
: |
ISBN-10 |
: |
ISBN-13 |
: |
Rating |
: 4/5 ( Downloads) |
Synopsis Fuzzy-Rough Multi-Objective Product Blending Fixed-Charge Transportation Problem With Truck Load Constraints Through Transfer Station by : Shyamali Ghosh
In this contribution, for the first time, an effcient model of multi-objective product blending fixed-charge transportation problem with truck load constraints through transfer station is formulated.
Author |
: Seyed Hadi Nasseri |
Publisher |
: Springer |
Total Pages |
: 246 |
Release |
: 2019-05-29 |
ISBN-10 |
: 9783030174217 |
ISBN-13 |
: 3030174212 |
Rating |
: 4/5 (17 Downloads) |
Synopsis Fuzzy Linear Programming: Solution Techniques and Applications by : Seyed Hadi Nasseri
This book presents the necessary and essential backgrounds of fuzzy set theory and linear programming, particularly a broad range of common Fuzzy Linear Programming (FLP) models and related, convenient solution techniques. These models and methods belong to three common classes of fuzzy linear programming, namely: (i) FLP problems in which all coefficients are fuzzy numbers, (ii) FLP problems in which the right-hand-side vectors and the decision variables are fuzzy numbers, and (iii) FLP problems in which the cost coefficients, the right-hand-side vectors and the decision variables are fuzzy numbers. The book essentially generalizes the well-known solution algorithms used in linear programming to the fuzzy environment. Accordingly, it can be used not only as a textbook, teaching material or reference book for undergraduate and graduate students in courses on applied mathematics, computer science, management science, industrial engineering, artificial intelligence, fuzzy information processes, and operations research, but can also serve as a reference book for researchers in these fields, especially those engaged in optimization and soft computing. For textbook purposes, it also includes simple and illustrative examples to help readers who are new to the field.
Author |
: C. R. Bector |
Publisher |
: Springer |
Total Pages |
: 248 |
Release |
: 2006-05-18 |
ISBN-10 |
: 9783540323716 |
ISBN-13 |
: 3540323716 |
Rating |
: 4/5 (16 Downloads) |
Synopsis Fuzzy Mathematical Programming and Fuzzy Matrix Games by : C. R. Bector
Game theory has already proved its tremendous potential for con?ict resolution problems in the ?elds of Decision Theory and Economics. In the recent past, there have been attempts to extend the results of crisp game theory to those con?ict resolution problems which are fuzzy in nature e.g. Nishizaki and Sakawa [61] and references cited there in. These developments have lead to the emergence of a new area in the literature called fuzzy games. Another area in the fuzzy decision theory, which has been growing very fast is the area of fuzzy mathematical programming and its applications to various branches of sciences, Engineering and Management. In the crisp scenario, there exists a beautiful relationship between two person zero sum matrix game theory and duality in linear p- gramming. It is therefore natural to ask if something similar holds in the fuzzy scenario as well. This discussion essentially constitutes the core of our presentation. The objective of this book is to present a systematic and focussed study of the application of fuzzy sets to two very basic areas of decision theory, namely Mathematical Programming and Matrix Game Theory.
Author |
: Gwo-Hshiung Tzeng |
Publisher |
: CRC Press |
Total Pages |
: 325 |
Release |
: 2013-08-09 |
ISBN-10 |
: 9781466554610 |
ISBN-13 |
: 1466554614 |
Rating |
: 4/5 (10 Downloads) |
Synopsis Fuzzy Multiple Objective Decision Making by : Gwo-Hshiung Tzeng
Multi-objective programming (MOP) can simultaneously optimize multi-objectives in mathematical programming models, but the optimization of multi-objectives triggers the issue of Pareto solutions and complicates the derived answers. To address these problems, researchers often incorporate the concepts of fuzzy sets and evolutionary algorithms into MOP models. Focusing on the methodologies and applications of this field, Fuzzy Multiple Objective Decision Making presents mathematical tools for complex decision making. The first part of the book introduces the most popular methods used to calculate the solution of MOP in the field of multiple objective decision making (MODM). The authors describe multi-objective evolutionary algorithms; expand de novo programming to changeable spaces, such as decision and objective spaces; and cover network data envelopment analysis. The second part focuses on various applications, giving readers a practical, in-depth understanding of MODM. A follow-up to the authors’ Multiple Attribute Decision Making: Methods and Applications, this book guides practitioners in using MODM methods to make effective decisions. It also extends students’ knowledge of the methods and provides researchers with the foundation to publish papers in operations research and management science journals.
Author |
: Gwo-Hshiung Tzeng |
Publisher |
: CRC Press |
Total Pages |
: 317 |
Release |
: 2016-04-19 |
ISBN-10 |
: 9781466554627 |
ISBN-13 |
: 1466554622 |
Rating |
: 4/5 (27 Downloads) |
Synopsis Fuzzy Multiple Objective Decision Making by : Gwo-Hshiung Tzeng
Multi-objective programming (MOP) can simultaneously optimize multi-objectives in mathematical programming models, but the optimization of multi-objectives triggers the issue of Pareto solutions and complicates the derived answers. To address these problems, researchers often incorporate the concepts of fuzzy sets and evolutionary algorithms into M
Author |
: Carlos Coello Coello |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 810 |
Release |
: 2007-08-26 |
ISBN-10 |
: 9780387367972 |
ISBN-13 |
: 0387367977 |
Rating |
: 4/5 (72 Downloads) |
Synopsis Evolutionary Algorithms for Solving Multi-Objective Problems by : Carlos Coello Coello
This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.
Author |
: Chiranjibe Jana |
Publisher |
: Springer Nature |
Total Pages |
: 753 |
Release |
: 2023-11-25 |
ISBN-10 |
: 9783031356681 |
ISBN-13 |
: 3031356683 |
Rating |
: 4/5 (81 Downloads) |
Synopsis Fuzzy Optimization, Decision-making and Operations Research by : Chiranjibe Jana
After developing fuzzy set theory, many contributors focused their research on the extension of fuzzy sets and their computational methodologies, strengthening modern science and technology. In some real-life phenomena, the conventional methods and traditional fuzzy sets cannot be explained, whereas the extension of fuzzy sets and effective new computing methods can explain it adequately. This edited book presents a new view of fuzzy set-measurement methods entitled "Fuzzy Optimization, Decision Making and Operations Research: Theory and Applications", which deals with different perspectives and areas of research. All chapters are divided into three parts: fuzzy optimization, fuzzy decision-making, and fuzzy operation research. The goal of this book is to provide a relevant methodological framework covering the core fields of fuzzy decision-making method, fuzzy optimization method, fuzzy graphics method, fuzzy operations research, fuzzy optimization using graph theory, fuzzy support systems and its real and industrial applications. For many people, fuzzy words' industrial engineering and scientific meanings are still an advanced system for improving modern science and technology. Although fuzzy logic can be applied to many different areas, people do not know how different fuzzy approaches can be applied to various products currently on the market. It is written for professionals who wish to share their expertise, improve their findings, and provide relevant information in the fields of fuzzy methods and their application in decision-making, optimization theory, graph theory and operations research. This book is aimed at experts and practitioners in the fields of fuzzy optimization, fuzzy decision-making, and fuzzy operation research.
Author |
: Tetsuzo Tanino |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 452 |
Release |
: 2003-04-14 |
ISBN-10 |
: 3540006532 |
ISBN-13 |
: 9783540006534 |
Rating |
: 4/5 (32 Downloads) |
Synopsis Multi-Objective Programming and Goal Programming by : Tetsuzo Tanino
This volume constitutes the proceedings of the Fifth International Conference on Multi-Objective Programming and Goal programming held in Nara Japan 2002. The book is dedicated to multi-objective methods in decision making. One half of the book is devoted to theoretical aspects, covering a broad range of multi-objective methods such as multiple linear programming, fuzzy goal programming, data envelopment analysis, game theory, and dynamic programming. Readers interested in practical applications, will find in the remaining parts a variety of approaches applied in numerous fields including production planning, logistics, marketing, and finance.
Author |
: Carlos A. Coello Coello |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 616 |
Release |
: 2002 |
ISBN-10 |
: 0306467623 |
ISBN-13 |
: 9780306467622 |
Rating |
: 4/5 (23 Downloads) |
Synopsis Evolutionary Algorithms for Solving Multi-Objective Problems by : Carlos A. Coello Coello
The solving of multi-objective problems (MOPs) has been a continuing effort by humans in many diverse areas, including computer science, engineering, economics, finance, industry, physics, chemistry, and ecology, among others. Many powerful and deterministic and stochastic techniques for solving these large dimensional optimization problems have risen out of operations research, decision science, engineering, computer science and other related disciplines. The explosion in computing power continues to arouse extraordinary interest in stochastic search algorithms that require high computational speed and very large memories. A generic stochastic approach is that of evolutionary algorithms (EA). Such algorithms have been demonstrated to be very powerful and generally applicable for solving different single objective problems. Their fundamental algorithmic structures can also be applied to solving many multi-objective problems. In this book, the various features of multi-objective evolutionary algorithms (MOEAs) are presented in an innovative and unique fashion, with detailed customized forms suggested for a variety of applications. Also, extensive MOEA discussion questions and possible research directions are presented at the end of each chapter. For additional information and supplementary teaching materials, please visit the authors' website at http://www.cs.cinvestav.mx/~EVOCINV/bookinfo.html.