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Agent-Based Evolutionary Search
. Ed(S): Sarker, Ruhul Amin; Ray, Tapabrata
€ 129.17
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Description for Agent-Based Evolutionary Search
Hardback. 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. Editor(s): Sarker, Ruhul Amin; Ray, Tapabrata. Series: Adaptation, Learning, and Optimization. Num Pages: 291 pages, 48 colour illustrations, biography. BIC Classification: PBW; UGC; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 20. Weight in Grams: 668.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2010
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
291
Condition
New
Series
Adaptation, Learning, and Optimization
Number of Pages
291
Place of Publication
Berlin, Germany
ISBN
9783642134241
SKU
V9783642134241
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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