Gillespie Algorithms for Stochastic Multiagent Dynamics in Populations and Networks, Christian L. Vestergaard, Naoki Masuda

Автор: Ivan Zelinka; Guanrong Chen
Название: Evolutionary Algorithms, Swarm Dynamics and Complex Networks
ISBN: 3662556618 ISBN-13(EAN): 9783662556610
Издательство: Springer
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Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In this book, based on many years of intensive research of the authors, is proposing novel ideas about advancing evolutionary dynamics towards new phenomena including many new topics, even the dynamics of equivalent social networks.

Автор: Ivan Zelinka; Guanrong Chen
Название: Evolutionary Algorithms, Swarm Dynamics and Complex Networks
ISBN: 3662572478 ISBN-13(EAN): 9783662572474
Издательство: Springer
Рейтинг:
Цена: 20962.00 р.
Наличие на складе: Поставка под заказ.

Описание: Evolutionary algorithms constitute a class of well-known algorithms, which are designed based on the Darwinian theory of evolution and Mendelian theory of heritage. They are partly based on random and partly based on deterministic principles. Due to this nature, it is challenging to predict and control its performance in solving complex nonlinear problems. Recently, the study of evolutionary dynamics is focused not only on the traditional investigations but also on the understanding and analyzing new principles, with the intention of controlling and utilizing their properties and performances toward more effective real-world applications. In this book, based on many years of intensive research of the authors, is proposing novel ideas about advancing evolutionary dynamics towards new phenomena including many new topics, even the dynamics of equivalent social networks. In fact, it includes more advanced complex networks and incorporates them with the CMLs (coupled map lattices), which are usually used for spatiotemporal complex systems simulation and analysis, based on the observation that chaos in CML can be controlled, so does evolution dynamics. All the chapter authors are, to the best of our knowledge, originators of the ideas mentioned above and researchers on evolutionary algorithms and chaotic dynamics as well as complex networks, who will provide benefits to the readers regarding modern scientific research on related subjects.