Evolutionary Algorithms for Embedded System Design, Rolf Drechsler; Nicole Drechsler

Автор: M.C. Bhuvaneswari
Название: Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems
ISBN: 8132219570 ISBN-13(EAN): 9788132219576
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design.

Автор: M.C. Bhuvaneswari
Название: Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems
ISBN: 8132235398 ISBN-13(EAN): 9788132235392
Издательство: Springer
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Цена: 14365.00 р.
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Описание: This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design.

Автор: Xinjie Yu; Mitsuo Gen
Название: Introduction to Evolutionary Algorithms
ISBN: 144712569X ISBN-13(EAN): 9781447125693
Издательство: Springer
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Цена: 27251.00 р.
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Описание: Introduction to Evolutionary Algorithms presents a comprehensive, up-to-date overview of evolutionary algorithms. Readers will find a discussion of hot topics in the field, including genetic algorithms, differential evolution, swarm intelligence, and artificial immune systems.

Автор: Ivan Zelinka; Sergej Celikovsk?; Hendrik Richter;
Название: Evolutionary Algorithms and Chaotic Systems
ISBN: 3642262554 ISBN-13(EAN): 9783642262555
Издательство: Springer
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Цена: 41787.00 р.
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Описание: This book discusses the mutual intersection of two fields of research: evolutionary computation, which can handle tasks such as control of various chaotic systems, and deterministic chaos, which is investigated as a behavioral part of evolutionary algorithms.

Автор: Ying-ping Chen
Название: Exploitation of Linkage Learning in Evolutionary Algorithms
ISBN: 3642263275 ISBN-13(EAN): 9783642263279
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The exploitation of linkage learning is enhancing the performance of evolutionary algorithms. This monograph examines recent progress in linkage learning, with a series of focused technical chapters that cover developments and trends in the field.

Автор: Kay Chen Tan; Eik Fun Khor; Tong Heng Lee
Название: Multiobjective Evolutionary Algorithms and Applications
ISBN: 1849969353 ISBN-13(EAN): 9781849969352
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Evolutionary multiobjective optimization is currently gaining a lot of attention, particularly for researchers in the evolutionary computation communities. Covers the authors` recent research in the area of multiobjective evolutionary algorithms as well as its practical applications.

Автор: Ernesto Sanchez; Giovanni Squillero; Alberto Tonda
Название: Industrial Applications of Evolutionary Algorithms
ISBN: 364244346X ISBN-13(EAN): 9783642443466
Издательство: Springer
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Цена: 15672.00 р.
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Описание: Ideal as a reference both for experienced users and novices, this publication combines a thorough introduction to evolutionary computation with details of its application to real-world problems and advice on tackling a wealth of issues in its implementation.

Автор: Xinjie Yu; Mitsuo Gen
Название: Introduction to Evolutionary Algorithms
ISBN: 184996128X ISBN-13(EAN): 9781849961288
Издательство: Springer
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Цена: 27251.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Introduction to Evolutionary Algorithms presents a comprehensive, up-to-date overview of evolutionary algorithms. Readers will find a discussion of hot topics in the field, including genetic algorithms, differential evolution, swarm intelligence, and artificial immune systems.

Автор: Ying-ping Chen
Название: Exploitation of Linkage Learning in Evolutionary Algorithms
ISBN: 3642128335 ISBN-13(EAN): 9783642128332
Издательство: Springer
Рейтинг:
Цена: 23757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The exploitation of linkage learning is enhancing the performance of evolutionary algorithms. This monograph examines recent progress in linkage learning, with a series of focused technical chapters that cover developments and trends in the field.