Network-based Distributed Planning Using Coevolutionary Algorithms

By: Arthur C Sanderson, Raj Subbu

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Hardcover | 26 February 2004

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Hardcover
192 Pages

Dimensions(cm)
23.5 x 15.88 x 1.27

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In this book, efficient and scalable coevolutionary algorithms for distributed, network-based decision-making, which utilize objective functions are developed in a networked environment where internode communications are a primary factor in system performance. A theoretical foundation for this class of coevolutionary algorithms is introduced using techniques from stochastic process theory and mathematical analysis. A case study in distributed, network-based decision-making presents an implementation and detailed evaluation of the coevolutionary decision-making framework that incorporates distributed evolutionary agents and mobile agents. The methodology discussed in this book can have a fundamental impact on the principles and practice of engineering in the distributed, network-based environment that is emerging within and among corporate enterprise systems. In addition, the conceptual framework of the approach to distributed decision systems described may have much wider implications for network-based systems and applications.

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Foreword
Preface
Introduction	p. 1
Background and related work	p. 9
Problem formulation and analysis	p. 33
Theory and analysis of evolutionary optimization	p. 53
Theory and analysis of distributed coevolutionary optimization	p. 63
Performance evaluation based on ideal objectives	p. 79
Coevolutionary virtual design environment	p. 95
Evaluation and analysis	p. 115
Conclusions	p. 143
Evolutionary algorithm theory	p. 151
Models for the printed circuit assembly problem	p. 153
Bibliography	p. 159
Index	p. 169
Table of Contents provided by Blackwell. All Rights Reserved.

Network-based Distributed Planning Using Coevolutionary Algorithms

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Hardcover

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