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作者:Sanghamitra Bandyopadhyay; Sankar Kumar Pal  出版社:Springer Verlag  出版日:2007/04/23 裝訂:平裝
This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, ca
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作者:Christian Blum; Daniel Merkle  出版社:Springer Verlag  出版日:2008/09/25 裝訂:平裝
The book’s contributing authors are among the top researchers in swarm intelligence. The book is intended to provide an overview of the subject to novices, and to offer researchers an update on intere
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Taking inspiration from self-awareness in humans, this book introduces the new notion of computational self-awareness as a fundamental concept for designing and operating computing systems. The basic
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作者:Anthony Brabazon; Michael O'Neill  出版社:Springer-Verlag New York Inc  出版日:2006/03/30 裝訂:精裝
Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically inspired algorithms (BIAs) to financial modelling.In a
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作者:Bogdan Aman; Gabriel Ciobanu  出版社:Springer-Verlag New York Inc  出版日:2011/11/03 裝訂:精裝
The design of formal calculi in which fundamental concepts underlying interactive systems can be described and studied has been a central theme of theoretical computer science in recent decades, while
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作者:Shigeyoshi Tsutsui (EDT); Pierre Collet (EDT)  出版社:Springer-Verlag New York Inc  出版日:2013/12/19 裝訂:精裝
Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics,
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作者:Yossi Borenstein (EDT); Alberto Moraglio (EDT)  出版社:Springer-Verlag New York Inc  出版日:2013/10/31 裝訂:精裝
This edited book puts together theoretical and principled methods for incorporating problem knowledge in evolutionary algorithms and other metaheuristics, and for designing and adapting them to the sp
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This book deals with key issues in the emerging interdisciplinary area involving cellular systems, computational modelling, and biologically inspired computing. This highly multidisciplinary book offe
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作者:Lukas Sekanina  出版社:Springer Verlag  出版日:2004/03/01 裝訂:精裝
This book deals with adaptive evolvable systems operating in a changing environment. The proposed component approach for the design of evolvable systems, the mathematical theory of evolvable machines,
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作者:Ronald W. Morrison  出版社:Springer Verlag  出版日:2004/08/30 裝訂:精裝
The robust capability of Evolutionary Algorithms (EAs) to find solutions to difficult problems has permitted them to become the optimization and search techniques of choice for many practical static p
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作者:Julian F. Miller (EDT)  出版社:Springer-Verlag New York Inc  出版日:2013/11/27 裝訂:平裝
Cartesian Genetic Programming (CGP) is a highly effective and increasingly popular form of genetic programming. It represents programs in the form of directed graphs, and a particular characteristic i
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作者:Mike Preuss  出版社:Springer-Verlag New York Inc  出版日:2015/12/04 裝訂:精裝
The field of research covered by this book is niching/multimodal optimization, with an emphasis on evolutionary computation methods, explaining the state of the art and relating this research to a mod
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Design of Modern Heuristics ─ Principles and Application
90折
作者:Franz Rothlauf  出版社:Springer-Verlag New York Inc  出版日:2011/07/25 裝訂:精裝
Most textbooks on modern heuristics provide the reader with detailed descriptions of the functionality of single examples like genetic algorithms, genetic programming, tabu search, simulated annealing
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定價:3750 元, 優惠價:9 3375
作者:Sanghamitra Bandyopadhyay; Sankar K. Pal  出版社:Springer Verlag  出版日:2007/06/03 裝訂:精裝
"This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search t
若需訂購本書,請電洽客服
02-25006600[分機130、131]。
作者:Kenneth V. Price; Rainer M. Storn; Jouni A. Lampinen  出版社:Springer Verlag  出版日:2006/01/30 裝訂:精裝
Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables.The differ
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作者:Martyn Amos (EDT); Steen Rasmussen (EDT); Susan Stepney (EDT)  出版社:Springer-Nature New York Inc  出版日:2018/08/06 裝訂:精裝
This book is concerned with computing in materio: that is, unconventional computing performed by directly harnessing the physical properties of materials. It offers an overview of the field, cove
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作者:Alex A. Freitas  出版社:Springer-Verlag New York Inc  出版日:2011/12/25 裝訂:平裝
This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is cu
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作者:Thomas BSck; Christophe Foussette; Peter Krause  出版社:Springer-Verlag New York Inc  出版日:2013/10/31 裝訂:精裝
This volume, which includes the author’s own software package, tracks the development of evolutionary computation since 1990, with detailed evaluations of key approaches, pseudocode representations of
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定價:2500 元, 優惠價:1 2500
An Introduction to Metaheuristics for Optimization
90折
作者:Bastien Chopard; Marco Tomassini  出版社:Springer International Publishing AG  出版日:2018/11/13 裝訂:精裝
無庫存,下單後進貨(到貨天數約45-60天)
定價:2474 元, 優惠價:9 2227

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