Agent-Based Evolutionary Search - 9783642134241

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Book TitleAgent-Based Evolutionary Search
Number of Pages291 Pages
Publication NameAgent-Based Evolutionary Search
LanguageEnglish
PublisherSpringer-Verlag Berlin AND Heidelberg Gmbh & Co. KG
Item Height235 mm
SubjectEngineering & Technology, Computer Science, Mathematics
Publication Year2010
TypeTextbook
Item Weight672 g
AuthorTapabrata Ray, Ruhul A. Sarker
Item Width155 mm
SeriesAdaptation, Learning, and Optimization
FormatHardcover
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Agent-Based Evolutionary Search Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Ruhul A. Sarker, Tapabrata Ray Format: Hardback Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Germany Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K ISBN-13: 9783642134241, 978-3642134241 Synopsis Agent based evolutionary search is an emerging paradigm in computational int- ligence offering the potential to conceptualize and solve a variety of complex problems such as currency trading, production planning, disaster response m- agement, business process management etc. There has been a significant growth in the number of publications related to the development and applications of agent based systems in recent years which has prompted special issues of journals and dedicated sessions in premier conferences. The notion of an agent with its ability to sense, learn and act autonomously - lows the development of a plethora of efficient algorithms to deal with complex problems. This notion of an agent differs significantly from a restrictive definition of a solution in an evolutionary algorithm and opens up the possibility to model and capture emergent behavior of complex systems through a natural age- oriented decomposition of the problem space. While this flexibility of represen- tion offered by agent based systems is widely acknowledged, they need to be - signed for specific purposes capturing the right level of details and description. This edited volume is aimed to provide the readers with a brief background of agent based evolutionary search, recent developments and studies dealing with various levels of information abstraction and applications of agent based evo- tionary systems. There are 12 peer reviewed chapters in this book authored by d- tinguished researchers who have shared their experience and findings spanning across a wide range of applications.