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Agent-Based Evolutionary Search, Ruhul A. Sarker; Tapabrata Ray


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Автор: Ruhul A. Sarker; Tapabrata Ray
Название:  Agent-Based Evolutionary Search
ISBN: 9783642134241
Издательство: Springer
Классификация:



ISBN-10: 3642134246
Обложка/Формат: Hardback
Страницы: 284
Вес: 0.67 кг.
Дата издания: 2010
Серия: Adaptation, Learning, and Optimization
Язык: English
Иллюстрации: 48 colour illustrations, biography
Размер: 231 x 155 x 20
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Presenting state-of-the-art theory and practice in the field, this volume includes novel frameworks, a convergence and complexity analysis, and real-world applications. It aims to raise awareness of this effective method of enhancing evolutionary algorithms.


Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques

Автор: Manuel Barros; Jorge Guilherme; Nuno Horta
Название: Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
ISBN: 3642263232 ISBN-13(EAN): 9783642263231
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Transistor-level design for complex mixed-signal systems-on-chip remains difficult to automate. This book shows how a modified genetic algorithm kernel can improve efficiency in the analog IC design cycle and includes a worked example of the method.

Dynamics of Evolutionary Equations

Автор: Sell George R., You Yuncheng
Название: Dynamics of Evolutionary Equations
ISBN: 0387983473 ISBN-13(EAN): 9780387983479
Издательство: Springer
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Цена: 21661.00 р.
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Описание: The theory and applications of infinite dimensional dynamical systems have attracted the attention of scientists for quite some time. Dynamical issues arise in equations which attempt to model phenomena that change with time, and the infinite dimensional aspects occur when forces that describe the motion depend on spatial variables. This book may serve as an entree for scholars beginning their journey into the world of dynamical systems, especially infinite dimensional spaces. The main approach involves the theory of evolutionary equations. It begins with a brief essay on the evolution of evolutionary equations and introduces the origins of the basic elements of dynamical systems, flow and semiflow.

Evolutionary Computation Techniques: A Comparative Perspective

Автор: Cuevas, Erik, Osuna, Valentin, Oliva, Diego
Название: Evolutionary Computation Techniques: A Comparative Perspective
ISBN: 3319511084 ISBN-13(EAN): 9783319511085
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book compares the performance of various evolutionary computation (EC) techniques when they are faced with complex optimization problems extracted from different engineering domains.

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: 16769.00 р.
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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.

Agent-Based Evolutionary Search

Автор: Ruhul A. Sarker; Tapabrata Ray
Название: Agent-Based Evolutionary Search
ISBN: 3642263682 ISBN-13(EAN): 9783642263682
Издательство: Springer
Рейтинг:
Цена: 23757.00 р.
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Описание: Presenting state-of-the-art theory and practice in the field, this volume includes novel frameworks, a convergence and complexity analysis, and real-world applications. It aims to raise awareness of this effective method of enhancing evolutionary algorithms.

Mobile Robots: The Evolutionary Approach

Автор: Leandro dos Santos Coelho
Название: Mobile Robots: The Evolutionary Approach
ISBN: 3642080634 ISBN-13(EAN): 9783642080630
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Researchers have obtained robots that display an amazing slew of behaviors and perform a multitude of tasks, including perception of environment, negotiating rough terrain, and pushing boxes.

Fundamentals of Computational Intelligence - Neural Networks, Fuzzy Systems, and Evolutionary Computation

Автор: Keller
Название: Fundamentals of Computational Intelligence - Neural Networks, Fuzzy Systems, and Evolutionary Computation
ISBN: 1119214343 ISBN-13(EAN): 9781119214342
Издательство: Wiley
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Цена: 15682.00 р.
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Описание: Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation.

Evolutionary Computer Vision

Автор: Olague
Название: Evolutionary Computer Vision
ISBN: 3662436922 ISBN-13(EAN): 9783662436929
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This book explains the theory and application of evolutionary computer vision, a new paradigm where challenging vision problems can be approached using the techniques of evolutionary computing. This methodology achieves excellent results for defining fitness functions and representations for problems by merging evolutionary computation with mathematical optimization to produce automatic creation of emerging visual behaviors.In the first part of the book the author surveys the literature in concise form, defines the relevant terminology, and offers historical and philosophical motivations for the key research problems in the field. For researchers from the computer vision community, he offers a simple introduction to the evolutionary computing paradigm. The second part of the book focuses on implementing evolutionary algorithms that solve given problems using working programs in the major fields of low-, intermediate- and high-level computer vision.This book will be of value to researchers, engineers, and students in the fields of computer vision, evolutionary computing, robotics, biologically inspired mechatronics, electronics engineering, control, and artificial intelligence.


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