Modeling and Optimization: Theory and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 1461439248
Total Pages : 127 pages
Book Rating : 4.40/5 ( download)

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Book Synopsis Modeling and Optimization: Theory and Applications by : Tamás Terlaky

Download or read book Modeling and Optimization: Theory and Applications written by Tamás Terlaky and published by Springer Science & Business Media. This book was released on 2012-08-04 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Conference (MOPTA) held at Lehigh University in Bethlehem, Pennsylvania, USA on August 18-20, 2010. The conference brought together a diverse group of researchers and practitioners, working on both theoretical and practical aspects of continuous or discrete optimization. Topics presented included algorithms for solving convex, network, mixed-integer, nonlinear, and global optimization problems, and addressed the application of optimization techniques in finance, logistics, health, and other important fields. The contributions contained in this volume represent a sample of these topics and applications and illustrate the broad diversity of ideas discussed at the meeting.

Modeling and Optimization: Theory and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 1461489873
Total Pages : 141 pages
Book Rating : 4.70/5 ( download)

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Book Synopsis Modeling and Optimization: Theory and Applications by : Luis F. Zuluaga

Download or read book Modeling and Optimization: Theory and Applications written by Luis F. Zuluaga and published by Springer Science & Business Media. This book was released on 2013-11-22 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Conference (MOPTA) held at Lehigh University in Bethlehem, Pennsylvania, USA on July 30-August 1, 2012. The conference brought together a diverse group of researchers and practitioners, working on both theoretical and practical aspects of continuous or discrete optimization. Topics presented included algorithms for solving convex, network, mixed-integer, nonlinear, and global optimization problems, and addressed the application of optimization techniques in finance, logistics, health, and other important fields. The contributions contained in this volume represent a sample of these topics and applications and illustrate the broad diversity of ideas discussed at the meeting.

Modeling and Optimization: Theory and Applications

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Publisher : Springer
ISBN 13 : 3319666169
Total Pages : 162 pages
Book Rating : 4.67/5 ( download)

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Book Synopsis Modeling and Optimization: Theory and Applications by : Martin Takáč

Download or read book Modeling and Optimization: Theory and Applications written by Martin Takáč and published by Springer. This book was released on 2017-10-30 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Conference (MOPTA) held at Lehigh University in Bethlehem, Pennsylvania, USA on August 17-19, 2016. The conference brought together a diverse group of researchers and practitioners, working on both theoretical and practical aspects of continuous or discrete optimization. Topics presented included algorithms for solving convex, network, mixed-integer, nonlinear, and global optimization problems, and addressed the application of deterministic and stochastic optimization techniques in energy, finance, logistics, analytics, health, and other important fields. The contributions contained in this volume represent a sample of these topics and applications and illustrate the broad diversity of ideas discussed at the meeting.

Modeling and Optimization: Theory and Applications

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Publisher : Springer
ISBN 13 : 3030121194
Total Pages : 196 pages
Book Rating : 4.98/5 ( download)

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Book Synopsis Modeling and Optimization: Theory and Applications by : János D. Pintér

Download or read book Modeling and Optimization: Theory and Applications written by János D. Pintér and published by Springer. This book was released on 2019-02-14 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Conference (MOPTA) held at Lehigh University in B ethlehem, Pennsylvania, USA between August 16-18, 2017. The conference brought together a diverse group of researchers and practitioners working on both theoretical and practical aspects of continuous and discrete optimization. Topics covered include algorithms for solving convex, network, mixed-integer, nonlinear, and global optimization problems, and address the application of deterministic andstochastic optimization techniques in energy, finance, logistics, analytics, health, and other important fields. The selected contributions in this book illustrate the broad diversity of ideas discussed at the meeting.

Modeling and Optimization: Theory and Applications

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Publisher : Springer
ISBN 13 : 3319236997
Total Pages : 123 pages
Book Rating : 4.95/5 ( download)

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Book Synopsis Modeling and Optimization: Theory and Applications by : Boris Defourny

Download or read book Modeling and Optimization: Theory and Applications written by Boris Defourny and published by Springer. This book was released on 2015-11-05 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​This volume contains a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Conference (MOPTA) held at Lehigh University in Bethlehem, Pennsylvania, USA on August 13-15, 2014. The conference brought together a diverse group of researchers and practitioners, working on both theoretical and practical aspects of continuous or discrete optimization. Topics presented included algorithms for solving convex, network, mixed-integer, nonlinear, and global optimization problems, and addressed the application of deterministic and stochastic optimization techniques in energy, finance, logistics, analytics, healthcare, and other important fields. The contributions contained in this volume represent a sample of these topics and applications and illustrate the broad diversity of ideas discussed at the meeting.

Nature-Inspired Computing and Optimization

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Publisher : Springer
ISBN 13 : 3319509209
Total Pages : 494 pages
Book Rating : 4.04/5 ( download)

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Book Synopsis Nature-Inspired Computing and Optimization by : Srikanta Patnaik

Download or read book Nature-Inspired Computing and Optimization written by Srikanta Patnaik and published by Springer. This book was released on 2017-03-07 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals.

Optimization of Complex Systems: Theory, Models, Algorithms and Applications

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Publisher : Springer
ISBN 13 : 3030218031
Total Pages : 1164 pages
Book Rating : 4.34/5 ( download)

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Book Synopsis Optimization of Complex Systems: Theory, Models, Algorithms and Applications by : Hoai An Le Thi

Download or read book Optimization of Complex Systems: Theory, Models, Algorithms and Applications written by Hoai An Le Thi and published by Springer. This book was released on 2019-06-15 with total page 1164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains 112 papers selected from about 250 submissions to the 6th World Congress on Global Optimization (WCGO 2019) which takes place on July 8–10, 2019 at University of Lorraine, Metz, France. The book covers both theoretical and algorithmic aspects of Nonconvex Optimization, as well as its applications to modeling and solving decision problems in various domains. It is composed of 10 parts, each of them deals with either the theory and/or methods in a branch of optimization such as Continuous optimization, DC Programming and DCA, Discrete optimization & Network optimization, Multiobjective programming, Optimization under uncertainty, or models and optimization methods in a specific application area including Data science, Economics & Finance, Energy & Water management, Engineering systems, Transportation, Logistics, Resource allocation & Production management. The researchers and practitioners working in Nonconvex Optimization and several application areas can find here many inspiring ideas and useful tools & techniques for their works.

Surrogate-Based Modeling and Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 1461475511
Total Pages : 413 pages
Book Rating : 4.14/5 ( download)

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Book Synopsis Surrogate-Based Modeling and Optimization by : Slawomir Koziel

Download or read book Surrogate-Based Modeling and Optimization written by Slawomir Koziel and published by Springer Science & Business Media. This book was released on 2013-06-06 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contemporary engineering design is heavily based on computer simulations. Accurate, high-fidelity simulations are used not only for design verification but, even more importantly, to adjust parameters of the system to have it meet given performance requirements. Unfortunately, accurate simulations are often computationally very expensive with evaluation times as long as hours or even days per design, making design automation using conventional methods impractical. These and other problems can be alleviated by the development and employment of so-called surrogates that reliably represent the expensive, simulation-based model of the system or device of interest but they are much more reasonable and analytically tractable. This volume features surrogate-based modeling and optimization techniques, and their applications for solving difficult and computationally expensive engineering design problems. It begins by presenting the basic concepts and formulations of the surrogate-based modeling and optimization paradigm and then discusses relevant modeling techniques, optimization algorithms and design procedures, as well as state-of-the-art developments. The chapters are self-contained with basic concepts and formulations along with applications and examples. The book will be useful to researchers in engineering and mathematics, in particular those who employ computationally heavy simulations in their design work.

System Modelling and Optimization

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Publisher : Springer
ISBN 13 : 0387348972
Total Pages : 635 pages
Book Rating : 4.71/5 ( download)

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Book Synopsis System Modelling and Optimization by : J. Dolezal

Download or read book System Modelling and Optimization written by J. Dolezal and published by Springer. This book was released on 2013-06-05 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings volume contains carefully selected papers presented during the 17th IFIP Conference on System Modelling and Optimization. Optimization theory and practice, optimal control, system modelling, stochastic optimization, and technical and non-technical applications of the existing theory are among areas mostly addressed in the included papers. Main directions are treated in addition to several survey papers based on invited presentations of leading specialists in the respective fields. Publication provides state-of-the-art in the area of system theory and optimization and points out several new areas (e.g fuzzy set, neural nets), where classical optimization topics intersects with computer science methodology.

Optimization in Engineering

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Publisher : Springer
ISBN 13 : 3319567691
Total Pages : 412 pages
Book Rating : 4.93/5 ( download)

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Book Synopsis Optimization in Engineering by : Ramteen Sioshansi

Download or read book Optimization in Engineering written by Ramteen Sioshansi and published by Springer. This book was released on 2017-06-24 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization techniques, with a clear engineering focus. It carefully describes classical optimization models and algorithms using an engineering problem-solving perspective, and emphasizes modeling issues using many real-world examples related to a variety of application areas. Providing an appropriate blend of practical applications and optimization theory makes the text useful to both practitioners and students, and gives the reader a good sense of the power of optimization and the potential difficulties in applying optimization to modeling real-world systems. The book is intended for undergraduate and graduate-level teaching in industrial engineering and other engineering specialties. It is also of use to industry practitioners, due to the inclusion of real-world applications, opening the door to advanced courses on both modeling and algorithm development within the industrial engineering and operations research fields.