Novel Optimization-based Algorithms for Dynamic Resource Management in Complex Systems

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ISBN 13 :
Total Pages : 176 pages
Book Rating : 4.:/5 (119 download)

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Book Synopsis Novel Optimization-based Algorithms for Dynamic Resource Management in Complex Systems by : David Sidoti

Download or read book Novel Optimization-based Algorithms for Dynamic Resource Management in Complex Systems written by David Sidoti and published by . This book was released on 2018 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation contains several foci in which optimization-based approaches are developed to obtain optimal or near-optimal solutions to NP-hard dynamic resource management problems that require the integration of spatio-temporally evolving intelligence and weather (meteorology and oceanography) data. Three primary topics of research are addressed: (i) asset allocation for counter-drug trafficking, (ii) multi-objective (ship) path planning, and (iii) fastest-path sailing boat routing. We approach all three problems in a general way for application to multiple domains, while utilizing domain-specific knowledge available in order to help condense the complex problem and decision spaces. The first two topics involve multiple, often competing, objectives for networks with stochastic non-convex edge costs, while the third topic extends this work to bearing-dependent transit times (id est, two otherwise equal arcs may have differing associated speeds of traversal due to the pointing of the vessel and behavior relative to the true wind speed and angle). The algorithms presented in this dissertation have been transitioned for use by and operationalized at multiple external organizations including, but not limited to, the Naval Research Laboratory - Marine Meteorology Division (NRL-MRY), Joint Interagency Task Force-South (JIATF-South), Space and Naval Warfare Systems Command (SPAWAR) Systems Center-Pacific, and Fleet Numerical Meteorology and Oceanography Center (FNMOC).

Dynamic Resource Management Algorithms for Complex Systems and Novel Approaches to Adaptive Kalman Filtering

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (133 download)

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Book Synopsis Dynamic Resource Management Algorithms for Complex Systems and Novel Approaches to Adaptive Kalman Filtering by : Lingyi Zhang

Download or read book Dynamic Resource Management Algorithms for Complex Systems and Novel Approaches to Adaptive Kalman Filtering written by Lingyi Zhang and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis considers three combinatorial optimization problems of substantial practical importance. First, a new approach to efficiently obtain a large number of ranked solutions to a 3-dimensional assignment problem is presented, and is applied to generate fuel assembly loading patterns. Second, we formulate the problem of dynamically scheduling maritime surveillance assets, and solve it using branch-and-cut and approximate dynamic programming (ADP) with rollout, and investigate the tradeoffs between the two. Third, a multi-objective ship routing problem is also investigated, where we propose a solution combining approximate dynamic programming techniques and clustering techniques to contain the computational and storage complexity. Lastly, this dissertation develops a seminal approach to adaptive Kalman filtering via the use of post-fit residuals given data samples -- an approach not yet discussed prior to this work.

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

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Publisher : Springer
ISBN 13 : 3030218031
Total Pages : 1164 pages
Book Rating : 4.0/5 (32 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.

Optimization of Complex Systems

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Publisher :
ISBN 13 : 9783030218041
Total Pages : pages
Book Rating : 4.2/5 (18 download)

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Book Synopsis Optimization of Complex Systems by : Hoai An Le Thi

Download or read book Optimization of Complex Systems written by Hoai An Le Thi and published by . This book was released on 2020 with total page 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.

Metaheuristics for Resource Deployment under Uncertainty in Complex Systems

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Publisher : CRC Press
ISBN 13 : 1000432882
Total Pages : 210 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Metaheuristics for Resource Deployment under Uncertainty in Complex Systems by : Shuxin Ding

Download or read book Metaheuristics for Resource Deployment under Uncertainty in Complex Systems written by Shuxin Ding and published by CRC Press. This book was released on 2021-09-30 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metaheuristics for Resource Deployment under Uncertainty in Complex Systems analyzes how to set locations for the deployment of resources to incur the best performance at the lowest cost. Resources can be static nodes and moving nodes while services for a specific area or for customers can be provided. Theories of modeling and solution techniques are used with uncertainty taken into account and real-world applications used. The authors present modeling and metaheuristics for solving resource deployment problems under uncertainty while the models deployed are related to stochastic programming, robust optimization, fuzzy programming, risk management, and single/multi-objective optimization. The resources are heterogeneous and can be sensors and actuators providing different tasks. Both separate and cooperative coverage of the resources are analyzed. Previous research has generally dealt with one type of resource and considers static and deterministic problems, so the book breaks new ground in its analysis of cooperative coverage with heterogeneous resources and the uncertain and dynamic properties of these resources using metaheuristics. This book will help researchers, professionals, academics, and graduate students in related areas to better understand the theory and application of resource deployment problems and theories of uncertainty, including problem formulations, assumptions, and solution methods.

Resource Allocation Problems

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Publisher : MIT Press (MA)
ISBN 13 :
Total Pages : 256 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Resource Allocation Problems by : Toshihide Ibaraki

Download or read book Resource Allocation Problems written by Toshihide Ibaraki and published by MIT Press (MA). This book was released on 1988 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses a theoretical problem encountered in a variety of areas in operations research and management science, including load distribution, production planning, computer scheduling, portfolio selection, and apportionment. It is a timely and comprehensive summary of the past thirty years of research on algorithmic aspects of the resource allocation problem and its variants, covering Lagrangean multiplier method, dynamic programming, greedy algorithms, and their generalizations. Modern data structures are used to analyze the computational complexity of each algorithm. The resource allocation problem the authors take up is an optimization problem with a single simple constraint: it determines the allocation of a fixed amount of resources to a given number of activities in order to achieve the most effective results. It may be viewed as a special case of the nonlinear programming or nonlinear integer programming problem. Contents: Introduction. Resource Allocation with Continuous Variables. Resource Allocation with Integer Variables. Minimizing a Convex Separable Function. Minimax and Maximin Resource Allocation Problems. Fair Resource Allocation Problem. Apportionment Problem. Fundamentals of Submodular Systems. Resource Allocation Problems under Submodular Constraints. Further Topics on Resource Allocation Problems. Appendixes: Algorithms and Complexity. NP-completeness and NP-hardness. Toshihide lbaraki is Professor in the Department of Applied Mathematics and Physics at Kyoto University and Naoki Katoh is Associate Professor in the Department of Management Science at Kobe University of Commerce. Resource Allocation Problemsis included in the Foundations of Computing Series edited by Michael Garey and Albert Meyer.

Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics

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Publisher : IGI Global
ISBN 13 : 1466696451
Total Pages : 999 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics by : Vasant, Pandian

Download or read book Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics written by Vasant, Pandian and published by IGI Global. This book was released on 2016-03-08 with total page 999 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern optimization approaches have attracted many research scientists, decision makers and practicing researchers in recent years as powerful intelligent computational techniques for solving several complex real-world problems. The Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics highlights the latest research innovations and applications of algorithms designed for optimization applications within the fields of engineering, IT, and economics. Focusing on a variety of methods and systems as well as practical examples, this book is a significant resource for graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modeling uncertain real-world problems. .

Extremal Optimization

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Publisher : CRC Press
ISBN 13 : 1315362341
Total Pages : 334 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Extremal Optimization by : Yong-Zai Lu

Download or read book Extremal Optimization written by Yong-Zai Lu and published by CRC Press. This book was released on 2018-09-03 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extremal Optimization: Fundamentals, Algorithms, and Applications introduces state-of-the-art extremal optimization (EO) and modified EO (MEO) solutions from fundamentals, methodologies, and algorithms to applications based on numerous classic publications and the authors’ recent original research results. It promotes the movement of EO from academic study to practical applications. The book covers four aspects, beginning with a general review of real-world optimization problems and popular solutions with a focus on computational complexity, such as "NP-hard" and the "phase transitions" occurring on the search landscape. Next, it introduces computational extremal dynamics and its applications in EO from principles, mechanisms, and algorithms to the experiments on some benchmark problems such as TSP, spin glass, Max-SAT (maximum satisfiability), and graph partition. It then presents studies on the fundamental features of search dynamics and mechanisms in EO with a focus on self-organized optimization, evolutionary probability distribution, and structure features (e.g., backbones), which are based on the authors’ recent research results. Finally, it discusses applications of EO and MEO in multiobjective optimization, systems modeling, intelligent control, and production scheduling. The authors present the advanced features of EO in solving NP-hard problems through problem formulation, algorithms, and simulation studies on popular benchmarks and industrial applications. They also focus on the development of MEO and its applications. This book can be used as a reference for graduate students, research developers, and practical engineers who work on developing optimization solutions for those complex systems with hardness that cannot be solved with mathematical optimization or other computational intelligence, such as evolutionary computations.

Complex Systems

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Publisher : WIT Press
ISBN 13 : 1784661554
Total Pages : 325 pages
Book Rating : 4.7/5 (846 download)

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Book Synopsis Complex Systems by : G. Rzevski

Download or read book Complex Systems written by G. Rzevski and published by WIT Press. This book was released on 2016-02-09 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers contained in this volume were originally presented at the 2015 International Conference on Complex Systems in Business, Administration, Science and Engineering. Included are the latest works of practitioners from a variety of disciplines who have developed new approaches for resolving complex issues that cannot be formulated using conventional, mathematical or software models. Complex Systems occur in an infinite variety of problems, not only in the realm of physical sciences and engineering, but also in such diverse fields as economics, the environment, humanities, and social and political sciences. The papers in the book cover such topics as: Complex ecological systems; Complexity science and urban developments; Complex energy systems; Complex issues in biological and medical sciences; Extreme events: natural and human made disasters; Climate change; Complexity of the internet-based global market; Complex business processes; Supply chain complexity; Transportation complexity; Logistics complexity; Closed and open systems; Attractions and chaotic systems; Complex adaptive software; Complexity of big data; Management of complexity; Global economy as a complex system; Complexity in social systems; Complex political systems; Administrations as complex systems; Complexity in engineering; Complexity and environment; Complexity and evolution; Complexity in linguistics, literature and arts.

Handbook of AI-based Metaheuristics

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Publisher : CRC Press
ISBN 13 : 1000434249
Total Pages : 419 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Handbook of AI-based Metaheuristics by : Anand J. Kulkarni

Download or read book Handbook of AI-based Metaheuristics written by Anand J. Kulkarni and published by CRC Press. This book was released on 2021-09-01 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.

Effective Resource Management in Manufacturing Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 9781846280054
Total Pages : 246 pages
Book Rating : 4.2/5 (8 download)

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Book Synopsis Effective Resource Management in Manufacturing Systems by : Massimiliano Caramia

Download or read book Effective Resource Management in Manufacturing Systems written by Massimiliano Caramia and published by Springer Science & Business Media. This book was released on 2006-01-09 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Manufacturing systems, regardless of their size, have to work with scarce resources in dynamic environments. Effective Resource Management in Manufacturing Systems aims to provide methods for achieving effective resource allocation and to solve related problems that occur daily and often generate cost overruns. This book will be bought by postgraduate students of business, engineering and computer science as well as researchers in these fields. It will also be of interest to practitioners in manufacturing systems and operations managers in industry.

Optimization, Learning, and Control for Interdependent Complex Networks

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Publisher : Springer Nature
ISBN 13 : 3030340945
Total Pages : 306 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Optimization, Learning, and Control for Interdependent Complex Networks by : M. Hadi Amini

Download or read book Optimization, Learning, and Control for Interdependent Complex Networks written by M. Hadi Amini and published by Springer Nature. This book was released on 2020-02-22 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on a wide range of optimization, learning, and control algorithms for interdependent complex networks and their role in smart cities operation, smart energy systems, and intelligent transportation networks. It paves the way for researchers working on optimization, learning, and control spread over the fields of computer science, operation research, electrical engineering, civil engineering, and system engineering. This book also covers optimization algorithms for large-scale problems from theoretical foundations to real-world applications, learning-based methods to enable intelligence in smart cities, and control techniques to deal with the optimal and robust operation of complex systems. It further introduces novel algorithms for data analytics in large-scale interdependent complex networks. • Specifies the importance of efficient theoretical optimization and learning methods in dealing with emerging problems in the context of interdependent networks • Provides a comprehensive investigation of advance data analytics and machine learning algorithms for large-scale complex networks • Presents basics and mathematical foundations needed to enable efficient decision making and intelligence in interdependent complex networks M. Hadi Amini is an Assistant Professor at the School of Computing and Information Sciences at Florida International University (FIU). He is also the founding director of Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab). He received his Ph.D. and M.Sc. from Carnegie Mellon University in 2019 and 2015 respectively. He also holds a doctoral degree in Computer Science and Technology. Prior to that, he received M.Sc. from Tarbiat Modares University in 2013, and the B.Sc. from Sharif University of Technology in 2011.

Resource Management in Distributed Systems

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Publisher : Springer Nature
ISBN 13 : 9819726441
Total Pages : 319 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Resource Management in Distributed Systems by : Anwesha Mukherjee

Download or read book Resource Management in Distributed Systems written by Anwesha Mukherjee and published by Springer Nature. This book was released on with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing

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Publisher : IGI Global
ISBN 13 : 1799853403
Total Pages : 2700 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing by : Management Association, Information Resources

Download or read book Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-01-25 with total page 2700 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed systems intertwine with our everyday lives. The benefits and current shortcomings of the underpinning technologies are experienced by a wide range of people and their smart devices. With the rise of large-scale IoT and similar distributed systems, cloud bursting technologies, and partial outsourcing solutions, private entities are encouraged to increase their efficiency and offer unparalleled availability and reliability to their users. The Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing is a vital reference source that provides valuable insight into current and emergent research occurring within the field of distributed computing. It also presents architectures and service frameworks to achieve highly integrated distributed systems and solutions to integration and efficient management challenges faced by current and future distributed systems. Highlighting a range of topics such as data sharing, wireless sensor networks, and scalability, this multi-volume book is ideally designed for system administrators, integrators, designers, developers, researchers, academicians, and students.

Computational Intelligence-based Optimization Algorithms

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Publisher : CRC Press
ISBN 13 : 1000964701
Total Pages : 357 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Computational Intelligence-based Optimization Algorithms by : Babak Zolghadr-Asli

Download or read book Computational Intelligence-based Optimization Algorithms written by Babak Zolghadr-Asli and published by CRC Press. This book was released on 2023-10-11 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence-based optimization methods, also known as metaheuristic optimization algorithms, are a popular topic in mathematical programming. These methods have bridged the gap between various approaches and created a new school of thought to solve real-world optimization problems. In this book, we have selected some of the most effective and renowned algorithms in the literature. These algorithms are not only practical but also provide thought-provoking theoretical ideas to help readers understand how they solve optimization problems. Each chapter includes a brief review of the algorithm’s background and the fields it has been used in. Additionally, Python code is provided for all algorithms at the end of each chapter, making this book a valuable resource for beginner and intermediate programmers looking to understand these algorithms.

Enhancing Performance, Efficiency, and Security Through Complex Systems Control

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Publisher : IGI Global
ISBN 13 :
Total Pages : 393 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Enhancing Performance, Efficiency, and Security Through Complex Systems Control by : Chana, Idriss

Download or read book Enhancing Performance, Efficiency, and Security Through Complex Systems Control written by Chana, Idriss and published by IGI Global. This book was released on 2024-01-22 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Academic scholars and professionals in engineering strive to enhance the performance, efficiency, and security of complex systems, but accessing comprehensive resources for these challenges can be daunting. Enhancing Performance, Efficiency, and Security Through Complex Systems Control offers an ideal solution. Edited by esteemed academics Idriss Chana, Aziz Bouazi, and Hussain Ben-Azza, this book presents a curated collection of scientific articles encompassing multidisciplinary themes like computer science, artificial intelligence, electrical engineering, and control systems. By consolidating cutting-edge research and methodologies, this book empowers scholars and professionals to improve the design, modeling, and control of complex systems. It provides practical solutions, showcases new ideas, and explores innovative technologies to enhance performance, efficiency, and safety. With a meticulous selection process involving internationally recognized scientific committees, this book ensures the highest quality standards, making it a reliable reference for researchers, PhD students, and academics. Delve into the wide range of topics covered, from artificial intelligence to smart systems, and unlock the potential of complex systems control to advance your research endeavors.

Optimization in a Complex World

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Publisher :
ISBN 13 : 9780387886657
Total Pages : 325 pages
Book Rating : 4.8/5 (866 download)

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Book Synopsis Optimization in a Complex World by : Victor Korotkikh

Download or read book Optimization in a Complex World written by Victor Korotkikh and published by . This book was released on 2012-03-29 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: As complex systems play an increasingly important role in human activities, optimisation becomes a critical issue. This book suggests a new perspective to the problem by recognising the possibility of a general optimality condition that determines the optimal performance of a complex system.