Optimization Of Complex Systems Theory Models Algorithms And Applications

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Optimization of Complex Systems

Hoai An Le Thi,Tao Pham Dinh
Optimization of Complex Systems Book PDF

Author : Hoai An Le Thi,Tao Pham Dinh
Publisher : Unknown
Page : 128 pages
File Size : 41,5 Mb
Release : 2020
Category : MATHEMATICS
ISBN : 303021804X

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Optimization of Complex Systems by Hoai An Le Thi,Tao Pham Dinh Pdf

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.

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

Hoai An Le Thi,Hoai Minh Le,Tao Pham Dinh
Optimization of Complex Systems Theory Models Algorithms and Applications Book PDF

Author : Hoai An Le Thi,Hoai Minh Le,Tao Pham Dinh
Publisher : Springer
Page : 1164 pages
File Size : 41,8 Mb
Release : 2019-06-15
Category : Technology & Engineering
ISBN : 9783030218034

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Optimization of Complex Systems: Theory, Models, Algorithms and Applications by Hoai An Le Thi,Hoai Minh Le,Tao Pham Dinh Pdf

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.

Complex Systems

G. Rzevski,C.A. Brebbia
Complex Systems Book PDF

Author : G. Rzevski,C.A. Brebbia
Publisher : WIT Press
Page : 261 pages
File Size : 40,5 Mb
Release : 2017-01-31
Category : Computers
ISBN : 9781784662356

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Complex Systems by G. Rzevski,C.A. Brebbia Pdf

Containing papers presented at the 2016 New Forest Conference on Complex Systems, this multi-disciplinary book presents new approaches for resolving complex issues that cannot be resolved using conventional mathematical or software models. Complex Systems occur in an infinite variety of problems encompassing fields as diverse as economics, the environment, humanities, social and political sciences, physical sciences and engineering. The papers in the book cover such topics as: Complex business processes; Supply chain complexity; Complex adaptive software; Management of complexity; Complexity in social systems; Complexity in engineering; Complex issues in biological and medical sciences; Complex energy systems Complexity and evolution.

Graphs and Combinatorial Optimization: from Theory to Applications

Claudio Gentile,Giuseppe Stecca,Paolo Ventura
Graphs and Combinatorial Optimization from Theory to Applications Book PDF

Author : Claudio Gentile,Giuseppe Stecca,Paolo Ventura
Publisher : Springer Nature
Page : 408 pages
File Size : 51,7 Mb
Release : 2021-03-01
Category : Mathematics
ISBN : 9783030630720

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Graphs and Combinatorial Optimization: from Theory to Applications by Claudio Gentile,Giuseppe Stecca,Paolo Ventura Pdf

This book highlights new and original contributions on Graph Theory and Combinatorial Optimization both from the theoretical point of view and from applications in all fields. The book chapters describe models and methods based on graphs, structural properties, discrete optimization, network optimization, mixed-integer programming, heuristics, meta-heuristics, math-heuristics, and exact methods as well as applications. The book collects selected contributions from the CTW2020 international conference (18th Cologne-Twente Workshop on Graphs and Combinatorial Optimization), held online on September 14-16, 2020. The conference was organized by IASI-CNR with the contribution of University of Roma Tre, University Roma Tor Vergata, and CNRS-LIX and with the support of AIRO. It is addressed to researchers, PhD students, and practitioners in the fields of Graph Theory, Discrete Mathematics, Combinatorial Optimization, and Operations Research.

Optimization and Control of Bilinear Systems

Panos M. Pardalos,Vitaliy A. Yatsenko
Optimization and Control of Bilinear Systems Book PDF

Author : Panos M. Pardalos,Vitaliy A. Yatsenko
Publisher : Springer Science & Business Media
Page : 388 pages
File Size : 53,8 Mb
Release : 2010-03-14
Category : Science
ISBN : 9780387736693

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Optimization and Control of Bilinear Systems by Panos M. Pardalos,Vitaliy A. Yatsenko Pdf

Covers developments in bilinear systems theory Focuses on the control of open physical processes functioning in a non-equilibrium mode Emphasis is on three primary disciplines: modern differential geometry, control of dynamical systems, and optimization theory Includes applications to the fields of quantum and molecular computing, control of physical processes, biophysics, superconducting magnetism, and physical information science

Metaheuristics

Karl F. Doerner,Michel Gendreau,Peter Greistorfer,Walter Gutjahr,Richard F. Hartl,Marc Reimann
Metaheuristics Book PDF

Author : Karl F. Doerner,Michel Gendreau,Peter Greistorfer,Walter Gutjahr,Richard F. Hartl,Marc Reimann
Publisher : Springer Science & Business Media
Page : 409 pages
File Size : 43,6 Mb
Release : 2007-08-13
Category : Mathematics
ISBN : 9780387719214

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Metaheuristics by Karl F. Doerner,Michel Gendreau,Peter Greistorfer,Walter Gutjahr,Richard F. Hartl,Marc Reimann Pdf

This book’s aim is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas. Therefore, this book may equally serve as a textbook in graduate courses for students, as a reference book for people interested in engineering or social sciences, and as a collection of new and promising avenues for researchers working in this field.

Predictive Approaches to Control of Complex Systems

Gorazd Karer,Igor Škrjanc
Predictive Approaches to Control of Complex Systems Book PDF

Author : Gorazd Karer,Igor Škrjanc
Publisher : Springer
Page : 261 pages
File Size : 49,6 Mb
Release : 2012-09-20
Category : Technology & Engineering
ISBN : 9783642339479

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Predictive Approaches to Control of Complex Systems by Gorazd Karer,Igor Škrjanc Pdf

A predictive control algorithm uses a model of the controlled system to predict the system behavior for various input scenarios and determines the most appropriate inputs accordingly. Predictive controllers are suitable for a wide range of systems; therefore, their advantages are especially evident when dealing with relatively complex systems, such as nonlinear, constrained, hybrid, multivariate systems etc. However, designing a predictive control strategy for a complex system is generally a difficult task, because all relevant dynamical phenomena have to be considered. Establishing a suitable model of the system is an essential part of predictive control design. Classic modeling and identification approaches based on linear-systems theory are generally inappropriate for complex systems; hence, models that are able to appropriately consider complex dynamical properties have to be employed in a predictive control algorithm. This book first introduces some modeling frameworks, which can encompass the most frequently encountered complex dynamical phenomena and are practically applicable in the proposed predictive control approaches. Furthermore, unsupervised learning methods that can be used for complex-system identification are treated. Finally, several useful predictive control algorithms for complex systems are proposed and their particular advantages and drawbacks are discussed. The presented modeling, identification and control approaches are complemented by illustrative examples. The book is aimed towards researches and postgraduate students interested in modeling, identification and control, as well as towards control engineers needing practically usable advanced control methods for complex systems.

Advances in Intelligent Systems and Computing IV

Natalya Shakhovska,Mykola O. Medykovskyy
Advances in Intelligent Systems and Computing IV Book PDF

Author : Natalya Shakhovska,Mykola O. Medykovskyy
Publisher : Springer Nature
Page : 971 pages
File Size : 42,6 Mb
Release : 2019-11-01
Category : Technology & Engineering
ISBN : 9783030336950

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Advances in Intelligent Systems and Computing IV by Natalya Shakhovska,Mykola O. Medykovskyy Pdf

This book reports on new theories and applications in the field of intelligent systems and computing. It covers computational and artificial intelligence methods, as well as advances in computer vision, current issues in big data and cloud computing, computation linguistics, and cyber-physical systems. It also reports on important topics in intelligent information management. Written by active researchers, the respective chapters are based on selected papers presented at the XIV International Scientific and Technical Conference on Computer Science and Information Technologies (CSIT 2019), held on September 17–20, 2019, in Lviv, Ukraine. The conference was jointly organized by the Lviv Polytechnic National University, Ukraine, the Kharkiv National University of Radio Electronics, Ukraine, and the Technical University of Lodz, Poland, under patronage of Ministry of Education and Science of Ukraine. Given its breadth of coverage, the book provides academics and professionals with extensive information and a timely snapshot of the field of intelligent systems, and is sure to foster new discussions and collaborations among different groups.

Approximation and Optimization

Ioannis C. Demetriou,Panos M. Pardalos
Approximation and Optimization Book PDF

Author : Ioannis C. Demetriou,Panos M. Pardalos
Publisher : Springer
Page : 237 pages
File Size : 47,5 Mb
Release : 2019-05-10
Category : Mathematics
ISBN : 9783030127671

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Approximation and Optimization by Ioannis C. Demetriou,Panos M. Pardalos Pdf

This book focuses on the development of approximation-related algorithms and their relevant applications. Individual contributions are written by leading experts and reflect emerging directions and connections in data approximation and optimization. Chapters discuss state of the art topics with highly relevant applications throughout science, engineering, technology and social sciences. Academics, researchers, data science practitioners, business analysts, social sciences investigators and graduate students will find the number of illustrations, applications, and examples provided useful. This volume is based on the conference Approximation and Optimization: Algorithms, Complexity, and Applications, which was held in the National and Kapodistrian University of Athens, Greece, June 29–30, 2017. The mix of survey and research content includes topics in approximations to discrete noisy data; binary sequences; design of networks and energy systems; fuzzy control; large scale optimization; noisy data; data-dependent approximation; networked control systems; machine learning ; optimal design; no free lunch theorem; non-linearly constrained optimization; spectroscopy.

Lecture Notes in Computational Intelligence and Decision Making

Sergii Babichev,Volodymyr Lytvynenko,Waldemar Wójcik,Svetlana Vyshemyrskaya
Lecture Notes in Computational Intelligence and Decision Making Book PDF

Author : Sergii Babichev,Volodymyr Lytvynenko,Waldemar Wójcik,Svetlana Vyshemyrskaya
Publisher : Springer Nature
Page : 743 pages
File Size : 50,8 Mb
Release : 2020-07-25
Category : Technology & Engineering
ISBN : 9783030542153

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Lecture Notes in Computational Intelligence and Decision Making by Sergii Babichev,Volodymyr Lytvynenko,Waldemar Wójcik,Svetlana Vyshemyrskaya Pdf

This book includes 46 scientific papers presented at the conference and reflecting the latest research in the fields of data mining, machine learning and decision-making. The international scientific conference “Intellectual Systems of Decision-Making and Problems of Computational Intelligence” was held in the Kherson region, Ukraine, from May 25 to 29, 2020. The papers are divided into three sections: “Analysis and Modeling of Complex Systems and Processes,” “Theoretical and Applied Aspects of Decision-Making Systems” and “Computational Intelligence and Inductive Modeling.” The book will be of interest to scientists and developers specialized in the fields of data mining, machine learning and decision-making systems.

Optimization in Engineering

Ramteen Sioshansi,Antonio J. Conejo
Optimization in Engineering Book PDF

Author : Ramteen Sioshansi,Antonio J. Conejo
Publisher : Springer
Page : 412 pages
File Size : 42,9 Mb
Release : 2017-06-24
Category : Mathematics
ISBN : 9783319567693

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Optimization in Engineering by Ramteen Sioshansi,Antonio J. Conejo Pdf

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.

Black Box Optimization, Machine Learning, and No-Free Lunch Theorems

Panos M. Pardalos,Varvara Rasskazova,Michael N. Vrahatis
Black Box Optimization Machine Learning and No Free Lunch Theorems Book PDF

Author : Panos M. Pardalos,Varvara Rasskazova,Michael N. Vrahatis
Publisher : Springer Nature
Page : 388 pages
File Size : 54,6 Mb
Release : 2021-05-27
Category : Mathematics
ISBN : 9783030665159

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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems by Panos M. Pardalos,Varvara Rasskazova,Michael N. Vrahatis Pdf

This edited volume illustrates the connections between machine learning techniques, black box optimization, and no-free lunch theorems. Each of the thirteen contributions focuses on the commonality and interdisciplinary concepts as well as the fundamentals needed to fully comprehend the impact of individual applications and problems. Current theoretical, algorithmic, and practical methods used are provided to stimulate a new effort towards innovative and efficient solutions. The book is intended for beginners who wish to achieve a broad overview of optimization methods and also for more experienced researchers as well as researchers in mathematics, optimization, operations research, quantitative logistics, data analysis, and statistics, who will benefit from access to a quick reference to key topics and methods. The coverage ranges from mathematically rigorous methods to heuristic and evolutionary approaches in an attempt to equip the reader with different viewpoints of the same problem.

The Palgrave Handbook of Operations Research

Saïd Salhi,John Boylan
The Palgrave Handbook of Operations Research Book PDF

Author : Saïd Salhi,John Boylan
Publisher : Springer Nature
Page : 923 pages
File Size : 52,7 Mb
Release : 2022-07-07
Category : Business & Economics
ISBN : 9783030969356

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The Palgrave Handbook of Operations Research by Saïd Salhi,John Boylan Pdf

Operations Research (OR) is a fast-evolving field, which is having a significant impact on its neighbouring disciplines of Business Analytics and Data Science, and on contemporary business and management practices. This handbook provides a comprehensive and cutting edge collection of studies in the area. Views differ on what should be included within the scope of OR. The editors of this volume have taken the view that an inclusive stance is the most helpful, both for theory and practice. Real-world problems often require consideration from both ‘softer’ and ‘harder’ perspectives and need consideration of both predictive and prescriptive problems. In accordance with this inclusive approach to OR, the book is divided into six parts, covering Discrete Optimization, Continuous Optimization, Heuristic Search Optimization, Forecasting, Simulation and Prediction, Problem Structuring and Behavioural OR, and finally some recent OR Applications. This wide-ranging handbook includes a culturally diverse collection of authors, with different perspectives and backgrounds around Operations Research. It will be of tremendous value to researchers, students and practitioners in the field of OR

System Modelling and Optimization

M.J.D. Powell,S. Scholtes
System Modelling and Optimization Book PDF

Author : M.J.D. Powell,S. Scholtes
Publisher : Springer
Page : 352 pages
File Size : 40,7 Mb
Release : 2013-03-20
Category : Technology & Engineering
ISBN : 9780387355146

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System Modelling and Optimization by M.J.D. Powell,S. Scholtes Pdf

System Modelling and Optimization covers research issues within systems theory, optimization, modelling, and computing. It includes contributions to structural mechanics, integer programming, nonlinear programming, interior point methods, dynamical systems, stability analysis, stochastic optimization, bilevel optimization, and semidefinite programming. Several survey papers written by leading experts in their fields complement new developments in theory and applications. This book contains most of the invited papers and a few carefully selected submitted papers that were presented at the 19th IFIP TC7 Conference on System Modelling and Optimization, which was held in Cambridge, England, from July 12 to 16, 1999, and sponsored by the International Federation for Information Processing (IFIP).

Operations Research Proceedings 2019

Janis S. Neufeld,Udo Buscher,Rainer Lasch,Dominik Möst,Jörn Schönberger
Operations Research Proceedings 2019 Book PDF

Author : Janis S. Neufeld,Udo Buscher,Rainer Lasch,Dominik Möst,Jörn Schönberger
Publisher : Springer Nature
Page : 734 pages
File Size : 55,7 Mb
Release : 2020-09-24
Category : Business & Economics
ISBN : 9783030484392

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Operations Research Proceedings 2019 by Janis S. Neufeld,Udo Buscher,Rainer Lasch,Dominik Möst,Jörn Schönberger Pdf

This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2019), which was held at Technische Universität Dresden, Germany, on September 4-6, 2019, and was jointly organized by the German Operations Research Society (GOR) the Austrian Operations Research Society (ÖGOR), and the Swiss Operational Research Society (SOR/ASRO). More than 600 scientists, practitioners and students from mathematics, computer science, business/economics and related fields attended the conference and presented more than 400 papers in plenary presentations, parallel topic streams, as well as special award sessions. The respective papers discuss classical mathematical optimization, statistics and simulation techniques. These are complemented by computer science methods, and by tools for processing data, designing and implementing information systems. The book also examines recent advances in information technology, which allow big data volumes to be processed and enable real-time predictive and prescriptive business analytics to drive decisions and actions. Lastly, it includes problems modeled and treated while taking into account uncertainty, risk management, behavioral issues, etc.