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Published by World Scientific Pub Co Inc, 2017
ISBN 10: 9813148225 ISBN 13: 9789813148222
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Published by World Scientific Publishing Company., 2008
ISBN 10: 9812836519 ISBN 13: 9789812836519
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Published by Springer Nature Switzerland AG, Cham, 2019
ISBN 10: 3030248348 ISBN 13: 9783030248345
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Paperback. Condition: new. Paperback. This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: New. KlappentextrnrnIn a distributed computing system (DCS), we need to allocate a number of tasks to different processors for execution. The problem of task assignment in heterogeneous computing systems has been studied for many years with many vari.
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Published by Springer-Verlag New York Inc, 2019
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Buch. Condition: Neu. Neuware - In a distributed computing system (DCS), we need to allocate a number of tasks to different processors for execution. The problem of task assignment in heterogeneous computing systems has been studied for many years with many variations and to accomplish various objectives, such as throughput maximization, reliability maximization, and cost minimization. There are also exists a set of system constraints related to memory and communication link capacity. Most of the existing approaches for task allocation deal with a single objective only. In this project we construct the task allocation problem as a multi-objective optimization problem to consider system constraints. The goal programming technique is used with pre-emptive priority structure to find the optimal allocation that not only optimize system reliability but also optimize memory as well as path load. The genetic algorithm is used to find the optimal allocations. Genetic algorithm is used to find the optimal allocations.
Language: English
Published by Springer International Publishing, Springer Nature Switzerland Aug 2019, 2019
ISBN 10: 3030248348 ISBN 13: 9783030248345
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Taschenbuch. Condition: Neu. Neuware -This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 72 pp. Englisch.
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Published by Springer International Publishing, Springer Nature Switzerland, 2019
ISBN 10: 3030248348 ISBN 13: 9783030248345
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.
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Published by Springer Nature Switzerland AG, Cham, 2019
ISBN 10: 3030248348 ISBN 13: 9783030248345
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Paperback. Condition: new. Paperback. This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Language: English
Published by World Scientific Pub Co Inc, 2017
ISBN 10: 9813148225 ISBN 13: 9789813148222
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Published by WORLD SCIENTIFIC PUB CO INC, 2008
ISBN 10: 9812836519 ISBN 13: 9789812836519
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 456 | Sprache: Englisch | Produktart: Bücher | Optimization has been playing a key role in the design, planning and operation of chemical and related processes for nearly half a century. Although process optimization for multiple objectives was studied by several researchers back in the 1970s and 1980s, it has attracted active research in the last 10 years, spurred by the new and effective techniques for multi-objective optimization. In order to capture this renewed interest, this monograph presents the recent and ongoing research in multi-optimization techniques and their applications in chemical engineering.Following a brief introduction and general review on the development of multi-objective optimization applications in chemical engineering since 2000, the book gives a description of selected multi-objective techniques and then goes on to discuss chemical engineering applications. These applications are from diverse areas within chemical engineering, and are presented in detail. All chapters will be of interest to researchers in multi-objective optimization and/or chemical engineering; they can be read individually and used in one's learning and research. Several exercises are included at the end of many chapters, for use by both practicing engineers and students.
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Taschenbuch. Condition: Neu. Multi-Objective Optimization using Artificial Intelligence Techniques | Seyedali Mirjalili (u. a.) | Taschenbuch | xi | Englisch | 2019 | Springer | EAN 9783030248345 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by World Scientific Pub Co Inc, 2017
ISBN 10: 9813148225 ISBN 13: 9789813148222
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Language: English
Published by World Scientific Pub Co Inc, 2017
ISBN 10: 9813148225 ISBN 13: 9789813148222
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Published by World Scientific Pub Co Inc, 2017
ISBN 10: 9813148225 ISBN 13: 9789813148222
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Published by World Scientific Pub Co Inc, 2017
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Published by World Scientific Pub Co Inc, 2017
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