Evolutionary Computation in Dynamic and Uncertain Environments, Shengxiang Yang; Yew-Soon Ong; Yaochu Jin

Автор: Xin-She Yang
Название: Recent Advances in Swarm Intelligence and Evolutionary Computation
ISBN: 3319138251 ISBN-13(EAN): 9783319138251
Издательство: Springer
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Цена: 121110.00 T
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Описание: Recent Advances in Swarm Intelligence and Evolutionary Computation

Автор: Chi-Keong Goh; Kay Chen Tan
Название: Evolutionary Multi-objective Optimization in Uncertain Environments
ISBN: 3642101135 ISBN-13(EAN): 9783642101137
Издательство: Springer
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Цена: 139750.00 T
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Описание: The primary motivation of this book is to provide a comprehensive introduction on the design and application of evolutionary algorithms for multi-objective optimization in the presence of uncertainties. The book is intended for a wide readership.

Автор: Ronald W. Morrison
Название: Designing Evolutionary Algorithms for Dynamic Environments
ISBN: 364205952X ISBN-13(EAN): 9783642059520
Издательство: Springer
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Цена: 71690.00 T
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Описание: The robust capability of evolutionary algorithms (EAs) to find solutions to difficult problems has permitted them to become popular as optimization and search techniques for many industries. Despite the success of EAs, the resultant solutions are often fragile and prone to failure when the problem changes, usually requiring human intervention to keep the EA on track. Since many optimization problems in engineering, finance, and information technology require systems that can adapt to changes over time, it is desirable that EAs be able to respond to changes in the environment on their own. This book provides an analysis of what an EA needs to do to automatically and continuously solve dynamic problems, focusing on detecting changes in the problem environment and responding to those changes. In this book we identify and quantify a key attribute needed to improve the detection and response performance of EAs in dynamic environments. We then create an enhanced EA, designed explicitly to exploit this new understanding. This enhanced EA is shown to have superior performance on some types of problems. Our experiments evaluating this enhanced EA indicate some pre- viously unknown relationships between performance and diversity that may lead to general methods for improving EAs in dynamic environments. Along the way, several other important design issues are addressed involving com- putational efficiency, performance measurement, and the testing of EAs in dynamic environments.

Автор: Shengxiang Yang; Xin Yao
Название: Evolutionary Computation for Dynamic Optimization Problems
ISBN: 3642384153 ISBN-13(EAN): 9783642384158
Издательство: Springer
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Цена: 217680.00 T
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Описание: This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems.

Автор: Shengxiang Yang; Xin Yao
Название: Evolutionary Computation for Dynamic Optimization Problems
ISBN: 3642448437 ISBN-13(EAN): 9783642448430
Издательство: Springer
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Цена: 174130.00 T
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Описание: This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems.

Автор: Serra Roberto Et Al
Название: Artificial Life And Evolutionary Computation - Proceedings Of Wivace 2008
ISBN: 981428744X ISBN-13(EAN): 9789814287449
Издательство: World Scientific Publishing
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Цена: 144670.00 T
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Описание: The Italian community in Artificial Life and Evolutionary computation has grown remarkably over the years. This book presents a collection of its major interests and achievements (including contributions from foreign countries). It provides a broad picture of the Italian activities in this field.

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: 104550.00 T
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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.

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: 130430.00 T
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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.

Автор: Michael Emmerich; Andre Deutz; Oliver Schuetze; Th
Название: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV
ISBN: 3319011278 ISBN-13(EAN): 9783319011271
Издательство: Springer
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Цена: 200260.00 T
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Описание: Machine Learning and Probabilistic Models.- Complex Networks and Evolutionary Computation.- Diversity Oriented Optimization.- Set-oriented Numerics and Evolutionary Multiobjective Optimization.- Genetic Programming.- Robust Optimization.

Автор: Oliver Schuetze; Carlos A. Coello; Alexandru-Adria
Название: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation III
ISBN: 3319014595 ISBN-13(EAN): 9783319014593
Издательство: Springer
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Цена: 148020.00 T
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Описание: This book comprises a selection of extended abstracts and papers presented at the EVOLVE 2012 held in Mexico City, Mexico.

Автор: Alexandru-Adrian Tantar; Emilia Tantar; Jian-Qiao
Название: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V
ISBN: 3319074938 ISBN-13(EAN): 9783319074931
Издательство: Springer
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Цена: 191560.00 T
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Описание: Complementary to these directions, the conference tracks supporting the volume, follow on the individual advancements of the subareas constituting the scope of the conference, through the Computational Game Theory, Local Search and Optimization, Genetic Programming, Evolutionary Multi-objective optimization tracks.

Автор: Erik Cuevas; Margarita Arimatea D?az Cort?s; Diego
Название: Advances of Evolutionary Computation: Methods and Operators
ISBN: 3319285025 ISBN-13(EAN): 9783319285023
Издательство: Springer
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Цена: 121890.00 T
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Описание:

Introduction.- A Swarm Global Optimization Algorithm Inspired in the Behavior of the Social-spider.-A States of Matter Algorithm for Global Optimization.- An Algorithm for Global Optimization Inspired by Collective Animal Behavior.- A Bio-inspired Evolutionary Algorithm: Allostatic Optimization.- Optimization Based on the Behavior of Locust Swarms.