The Probabilistic Minimum Spanning Tree Problem

The Probabilistic Minimum Spanning Tree Problem
Title The Probabilistic Minimum Spanning Tree Problem PDF eBook
Author Dimitris Bertsimas
Publisher Forgotten Books
Pages 48
Release 2017-10-23
Genre Mathematics
ISBN 9780265619247

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Excerpt from The Probabilistic Minimum Spanning Tree Problem: Complexity and Combinatorial Properties In this paper we consider a natural probabilistic variation of this classical problem. In particular, we consider the case where not all the points are deterministically present, but are present with certain probability. Formally, given a weighted graph G (v, E) and a probability of presence p(s) for each subset S of V, we want to construct an a priori spanning tree of minimum expected length in the following sense: on any given instance of the problem delete the vertices and their adjacent edges among the set of absent vertices provided that the tree remains connected. The problem of finding an a priori spanning tree of minimum expected length is the probabilistic minimum spanning tree (pmst) problem. In order to clarify the definition of the pmst problem, consider the example in Figure 1. If the a priori tree is T and nodes are the only ones not present, the tree becomes ti. One can easily observe that if every node is present with probability p. 1 for all i E V then the problem reduces to the classical mst problem. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

The Probabilistic Minimum Spanning Tree Problem

The Probabilistic Minimum Spanning Tree Problem
Title The Probabilistic Minimum Spanning Tree Problem PDF eBook
Author Dimitris Bertsimas
Publisher Legare Street Press
Pages 0
Release 2023-07-18
Genre
ISBN 9781019946701

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Dimitris Bertsimas, an expert in the field of operations research, provides an in-depth exploration of the probabilistic minimum spanning tree problem. With detailed analysis of various algorithms and combinatorial properties, this publication will appeal to researchers and practitioners alike. This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

The Probabilistic Minimum Spanning Tree Problem

The Probabilistic Minimum Spanning Tree Problem
Title The Probabilistic Minimum Spanning Tree Problem PDF eBook
Author Dimitris J. Bertsimas
Publisher
Pages 41
Release 1988
Genre
ISBN

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Probabilistic Minimum Spanning Tree Problem

Probabilistic Minimum Spanning Tree Problem
Title Probabilistic Minimum Spanning Tree Problem PDF eBook
Author Bertsimas Dimitris
Publisher
Pages
Release 1901
Genre
ISBN 9780259688747

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PROBABILISTIC MINIMUM SPANNING TREE PROBLEM

PROBABILISTIC MINIMUM SPANNING TREE PROBLEM
Title PROBABILISTIC MINIMUM SPANNING TREE PROBLEM PDF eBook
Author DIMITRIS. BERTSIMAS
Publisher
Pages 0
Release 2018
Genre
ISBN 9781033587805

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Genetic Algorithms and Engineering Design

Genetic Algorithms and Engineering Design
Title Genetic Algorithms and Engineering Design PDF eBook
Author Mitsuo Gen
Publisher John Wiley & Sons
Pages 436
Release 1997-01-21
Genre Technology & Engineering
ISBN 9780471127413

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The last few years have seen important advances in the use ofgenetic algorithms to address challenging optimization problems inindustrial engineering. Genetic Algorithms and Engineering Designis the only book to cover the most recent technologies and theirapplication to manufacturing, presenting a comprehensive and fullyup-to-date treatment of genetic algorithms in industrialengineering and operations research. Beginning with a tutorial on genetic algorithm fundamentals andtheir use in solving constrained and combinatorial optimizationproblems, the book applies these techniques to problems in specificareas--sequencing, scheduling and production plans, transportationand vehicle routing, facility layout, location-allocation, andmore. Each topic features a clearly written problem description,mathematical model, and summary of conventional heuristicalgorithms. All algorithms are explained in intuitive, rather thanhighly-technical, language and are reinforced with illustrativefigures and numerical examples. Written by two internationally acknowledged experts in the field,Genetic Algorithms and Engineering Design features originalmaterial on the foundation and application of genetic algorithms,and also standardizes the terms and symbols used in othersources--making this complex subject truly accessible to thebeginner as well as to the more advanced reader. Ideal for both self-study and classroom use, this self-containedreference provides indispensable state-of-the-art guidance toprofessionals and students working in industrial engineering,management science, operations research, computer science, andartificial intelligence. The only comprehensive, state-of-the-arttreatment available on the use of genetic algorithms in industrialengineering and operations research . . . Written by internationally recognized experts in the field ofgenetic algorithms and artificial intelligence, Genetic Algorithmsand Engineering Design provides total coverage of currenttechnologies and their application to manufacturing systems.Incorporating original material on the foundation and applicationof genetic algorithms, this unique resource also standardizes theterms and symbols used in other sources--making this complexsubject truly accessible to students as well as experiencedprofessionals. Designed for clarity and ease of use, thisself-contained reference: * Provides a comprehensive survey of selection strategies, penaltytechniques, and genetic operators used for constrained andcombinatorial optimization problems * Shows how to use genetic algorithms to make production schedules,solve facility/location problems, make transportation/vehiclerouting plans, enhance system reliability, and much more * Contains detailed numerical examples, plus more than 160auxiliary figures to make solution procedures transparent andunderstandable

A probabilistic minimum spanning tree algorithm

A probabilistic minimum spanning tree algorithm
Title A probabilistic minimum spanning tree algorithm PDF eBook
Author F. J. Rohlf
Publisher
Pages 9
Release 1977
Genre
ISBN

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