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This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an effort to ensure that the ideas conveyed herein are accessible to the widest audience. The book begins with a summary of the basic concepts in multi-objective optimization. This is followed by brief discussions on various algorithms that have been proposed over the years for solving such problems, ranging from classical (mathematical) approaches to sophisticated evolutionary ones that are capable of seamlessly tackling practical challenges such as non-convexity, multi-modality, the presence of multiple constraints, etc. Thereafter, some of the key emerging aspects that are likely to shape future research directions in the field are presented. These include: optimization in dynamic environments, multi-objective bilevel programming, handling high dimensionality under many objectives, and evolutionary multitasking. In addition to theory and methodology, this book describes several real-world applications from various domains, which will expose the readers to the versatility of evolutionary multi-objective optimization.
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De la contraportada
This book covers the most recent advances in the field of evolutionary multiobjective
optimization. With the aim of drawing the attention of up-andcoming
scientists towards exciting prospects at the forefront of computational
intelligence, the authors have made an effort to ensure that the ideas conveyed
herein are accessible to the widest audience. The book begins with a summary
of the basic concepts in multi-objective optimization. This is followed by brief
discussions on various algorithms that have been proposed over the years for
solving such problems, ranging from classical (mathematical) approaches to
sophisticated evolutionary ones that are capable of seamlessly tackling practical
challenges such as non-convexity, multi-modality, the presence of multiple
constraints, etc. Thereafter, some of the key emerging aspects that are likely
to shape future research directions in the field are presented. These include:<
optimization in dynamic environments, multi-objective bilevel programming,
handling high dimensionality under many objectives, and evolutionary multitasking.
In addition to theory and methodology, this book describes several
real-world applications from various domains, which will expose the readers
to the versatility of evolutionary multi-objective optimization.
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Recent Advances in Evolutionary Multi-objective Optimization (Adaptation, Learning, and Optimization, 20)
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Recent Advances in Evolutionary Multi-objective Optimization
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Springer International Publishing Jun 2018, 2018
ISBN 10: 331982709X
ISBN 13: 9783319827094
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an effort to ensure that the ideas conveyed herein are accessible to the widest audience. The book begins with a summary of the basic concepts in multi-objective optimization. This is followed by brief discussions on various algorithms that have been proposed over the years for solving such problems, ranging from classical (mathematical) approaches to sophisticated evolutionary ones that are capable of seamlessly tackling practical challenges such as non-convexity, multi-modality, the presence of multiple constraints, etc. Thereafter, some of the key emerging aspects that are likely to shape future research directions in the field are presented. These include: optimization in dynamic environments, multi-objective bilevel programming, handling high dimensionality under many objectives, and evolutionary multitasking. In addition to theory and methodology, this book describes several real-world applications from various domains, which will expose the readers to the versatility of evolutionary multi-objective optimization. 192 pp. Englisch. Nº de ref. del artículo: 9783319827094
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Recent Advances in Evolutionary Multi-objective Optimization (Adaptation, Learning, and Optimization)
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Recent Advances in Evolutionary Multi-objective Optimization
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ISBN 10: 331982709X
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides both methodological treatments and real world insightsServes as comprehensive reference for researchers, practitioners, and advanced-level students Covers both the theory and practice of using evolutionary algorithms in tackling rea. Nº de ref. del artículo: 448757226
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Recent Advances in Evolutionary Multi-objective Optimization
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Springer International Publishing, Springer International Publishing Jun 2018, 2018
ISBN 10: 331982709X
ISBN 13: 9783319827094
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Taschenbuch. Condición: Neu. Neuware -This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an effort to ensure that the ideas conveyed herein are accessible to the widest audience. The book begins with a summary of the basic concepts in multi-objective optimization. This is followed by brief discussions on various algorithms that have been proposed over the years for solving such problems, ranging from classical (mathematical) approaches to sophisticated evolutionary ones that are capable of seamlessly tackling practical challenges such as non-convexity, multi-modality, the presence of multiple constraints, etc. Thereafter, some of the key emerging aspects that are likely to shape future research directions in the field are presented. These include: optimization in dynamic environments, multi-objective bilevel programming, handling high dimensionality under many objectives, and evolutionary multitasking. In addition to theory and methodology, this book describes several real-world applications from various domains, which will expose the readers to the versatility of evolutionary multi-objective optimization.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 192 pp. Englisch. Nº de ref. del artículo: 9783319827094
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Recent Advances in Evolutionary Multi-objective Optimization
Publicado por
Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 331982709X
ISBN 13: 9783319827094
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an effort to ensure that the ideas conveyed herein are accessible to the widest audience. The book begins with a summary of the basic concepts in multi-objective optimization. This is followed by brief discussions on various algorithms that have been proposed over the years for solving such problems, ranging from classical (mathematical) approaches to sophisticated evolutionary ones that are capable of seamlessly tackling practical challenges such as non-convexity, multi-modality, the presence of multiple constraints, etc. Thereafter, some of the key emerging aspects that are likely to shape future research directions in the field are presented. These include: optimization in dynamic environments, multi-objective bilevel programming, handling high dimensionality under many objectives, and evolutionary multitasking. In addition to theory and methodology, this book describes several real-world applications from various domains, which will expose the readers to the versatility of evolutionary multi-objective optimization. Nº de ref. del artículo: 9783319827094
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