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Item Details
| Title:
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AGENT-BASED EVOLUTIONARY SEARCH
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| By: |
Ruhul Amin Sarker (Editor), Tapabrata Ray (Editor) |
| Format: |
Hardback |
| List price:
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£129.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
3642134246 |
| ISBN 13: |
9783642134241 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
8 June, 2010 |
| Edition: |
2010 ed. |
| Series: |
Adaptation, Learning, and Optimization 5 |
| Pages: |
291 |
| Description: |
Presenting state-of-the-art theory and practice in the field, this volume includes novel frameworks, a convergence and complexity analysis, and real-world applications. It aims to raise awareness of this effective method of enhancing evolutionary algorithms. |
| 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. |
| Illustrations: |
48 Illustrations, color; 291 p. 48 illus. in color. |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |
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