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Advances in Multi-Objective Nature Inspired Computing, Carlos Coello Coello; Clarisse Dhaenens; Laetitia


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Автор: Carlos Coello Coello; Clarisse Dhaenens; Laetitia
Название:  Advances in Multi-Objective Nature Inspired Computing
ISBN: 9783642112171
Издательство: Springer
Классификация:

ISBN-10: 364211217X
Обложка/Формат: Hardback
Страницы: 216
Вес: 1.06 кг.
Дата издания: 2010
Серия: Studies in Computational Intelligence
Язык: English
Издание: 2010 ed.
Иллюстрации: 22 tables, black and white; xv, 195 p.
Размер: 234 x 156 x 14
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Recent advances in multi-objective, nature-inspired computing is presented in this comprehensive reference. This collection provides the non-expert with an overview of the field, and aims to motivate researchers to contribute to the field.

Advances in Cognitive Informatics and Cognitive Computing

Автор: Yingxu Wang; Du Zhang; Witold Kinsner
Название: Advances in Cognitive Informatics and Cognitive Computing
ISBN: 364226588X ISBN-13(EAN): 9783642265884
Издательство: Springer
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Цена: 153720.00 T
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Описание: Cognitive Informatics (CI) is the science of cognitive information processing and its applications in cognitive computing. CI is a transdisciplinary enquiry of computer science, information science, cognitive science, and intelligence science that investigates into the internal information processing mechanisms and processes of the brain.

Recent Advances in Evolutionary Multi-objective Optimization

Автор: Bechikh
Название: Recent Advances in Evolutionary Multi-objective Optimization
ISBN: 3319429779 ISBN-13(EAN): 9783319429779
Издательство: Springer
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Цена: 111790.00 T
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Описание: 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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