Last edited by Yozshugrel

Wednesday, August 5, 2020 | History

1 edition of **Theory and Practice of Uncertain Programming** found in the catalog.

- 109 Want to read
- 21 Currently reading

Published
**2002**
by Physica-Verlag HD, Imprint: Physica in Heidelberg
.

Written in English

- Artificial intelligence,
- Computer simulation,
- Computer science,
- Operations research

Real-life decisions are usually made in the state of uncertainty (randomness, fuzziness, roughness, etc.). 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. It includes numerous modeling ideas, hybrid intelligent algorithms, and various applications in transportation problem, inventory system, facility location & allocation, capital budgeting, topological optimization, vehicle routing problem, redundancy optimization, and scheduling. Researchers, practitioners and students in operations research, management science, information science, system science, and engineering will find this work a stimulating and useful reference.

**Edition Notes**

Statement | by Baoding Liu |

Series | Studies in Fuzziness and Soft Computing -- 102, Studies in Fuzziness and Soft Computing -- 102 |

Classifications | |
---|---|

LC Classifications | Q334-342, TJ210.2-211.495 |

The Physical Object | |

Format | [electronic resource] / |

Pagination | 1 online resource (xiv, 388 p.) |

Number of Pages | 388 |

ID Numbers | |

Open Library | OL27091782M |

ISBN 10 | 366213196X, 3790817813 |

ISBN 10 | 9783662131961, 9783790817812 |

OCLC/WorldCa | 851367592 |

Book Description. Integer Programming: Theory and Practice contains refereed articles that explore both theoretical aspects of integer programming as well as major applications. This volume begins with a description of new constructive and iterative search methods for solving the Boolean optimization problem (BOOP). Theory and Practice of Logic Programming emphasises both the theory and practice of logic programming. Logic programming applies to all areas of artificial intelligence and computer science and is fundamental to all of them. Among the topics covered are AI applications that use logic programming, natural language processing, knowledgeFile Size: KB.

Search the world's most comprehensive index of full-text books. My library. Free eBook “The Theory and Practice of Online Learning, second edition” by Terry Anderson. Download each chapter in pdf format. Every chapter in the widely distributed first edition has been updated, and four new chapters on current issues such as connectivism and social software innovations have been added.

Central Themes of This Book 9 Overview of This Book 12 PART ONE Portfolio Allocation: Classical Theory and Extensions 15 CHAPTER 2 Mean-Variance Analysis and Modern Portfolio Theory 17 The Beneﬁts of Diversiﬁcation 18 Mean-Variance Analysis: Overview 21 Classical Framework for Mean-Variance Optimization 24 The Capital Market Line 35File Size: KB. You can find all this theory in other books or via articles as published by Gamasutra. As the author wrote this book as a level design resource, acknowledging that there is very little in the way of level design theory. Well, just reinterpreting existing game design theory isn't really a good foundation to start by:

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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 by: 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.

In order to answer these questions, this book provides a self-contained, comprehensive and up-to-date presentation of uncertain programming theory.

It includes numerous modeling ideas, hybrid intelligent algorithms, and various applications in transportation problem, inventory system, Brand: Physica-Verlag Heidelberg. 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.

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume ). The book also includes an extensive bibliography on publications related to uncertain programming. Seven parts make up the book.

Part 1 briefly introduces the basic concepts and techniques of optimization theory. The main purpose of the book is just to provide uncertain programming theory to answer these questions.

By uncertain programming we mean the optimization theory in uncer- tain environments. Stochastic programming, fuzzy programming and hybrid programming are instances of uncertain programming.

Uncertainty theory, founded by Liu [] inis a branch of mathematics based on normality, monotonicity, self-duality, and countable subadditivity axioms. By uncertain programming we mean the optimization theory in generally uncertain : Baoding Liu. 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 Author: Liu, Baoding.

The main purpose of the book is just to provide uncertain programming theory to answer these questions. By uncertain programming we mean mathematical programming involv-ing uncertain variables.

Theory and Practice of Uncertain Programming. Authors: Liu, Baoding Free PreviewBrand: Springer-Verlag Berlin Heidelberg. Review of the Book “Non-Traditional Dynamics:Theory and Practice” Gennadiy G. Goshin DOI: /eng 2, Downloads 4, Views Citations. 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 Price: $ This book provides comprehensive coverage of uncertain programming theory, including numerous modeling ideas, hybrid intelligent algorithms, and applications in.

"This book provides a self-contained, comprehensive and up-to-date presentation of uncertain programming theory. It includes numerous modeling ideas, hybrid intelligent algorithms, and various applications in transportation problem inventory system, facility location & allocation, capital budgeting, topological optimization, vehicle routing problem, redundancy optimization, and scheduling.

Liu B. Theory and Practice of Uncertain Programming. Heidelberg, Germany: Physica Verlag, 被如下文章引用： TITLE: 如何增加人工神经元网络的透明度?* AUTHORS: 胡包钢,王泳,杨双红,曲寒冰 KEYWORDS: 机器学习,人工神经元网络,先验知识,归纳,演绎,黑箱 JOURNAL NAME: 模式识别与人工智能 Theory and Practice of Uncertain Programming by Baoding Liu,available at Book Depository with free delivery worldwide/5(2).

BibTeX @MISC{Liu_theoryand, author = {Baoding Liu}, title = {Theory and Practice of Uncertain Programming Third Edition}, year = {}}. We employ uncertain programming to investigate the competitive logistics distribution center location problem in uncertain environment, in which the demands of customers and the setup costs of new distribution centers are uncertain variables.

This research was studied with the assumption that customers patronize the nearest distribution center to satisfy their full by: 5. The main purpose of this paper is to present a brief review on uncertain programming models, and classify them into three broad classes: expected value model, chanceconstrained programming and dependent-chance programming.

This presentation is based on the book: B. Liu, Theory and Practice of Uncertain Programming, PhisicaVerlag, Heidelberg. Software engineers, to be worthy of the name, must know and apply a theory of programming. The subject of this book sometimes goes by the name “programming methodology”, “science of programming”, “logic of programming”, “theory of programming”, “formal methods of program development”, or “verification”.

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This paper will discuss the expected value of function of uncertain variables, and prove that the expected value of monotone function of uncertain variable is just a Lebesgue-Stieltjes integral of the function with respectFile Size: KB.