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. Ed(S): Coello Coello, Carlos A.; Dehuri, Satchidananda; Ghosh, Susmita - Swarm Intelligence for Multi-objective Problems in Data Mining - 9783642260537 - V9783642260537
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Swarm Intelligence for Multi-objective Problems in Data Mining

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Description for Swarm Intelligence for Multi-objective Problems in Data Mining paperback. The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining. Editor(s): Coello Coello, Carlos A.; Dehuri, Satchidananda; Ghosh, Susmita. Series: Studies in Computational Intelligence. Num Pages: 287 pages, 47 black & white tables, biography. BIC Classification: PBF; PBW; UYQ. Category: (G) General (US: Trade). Dimension: 235 x 155 x 16. Weight in Grams: 468.
Multi-objective optimization deals with the simultaneous optimization of two or more objectives which are normally in con?ict with each other. Since mul- objective optimization problems are relatively common in real-world appli- tions, this area has become a very popular research topic since the 1970s. However, the use of bio-inspired metaheuristics for solving multi-objective op- mization problems started in the mid-1980s and became popular until the mid- 1990s. Nevertheless, the e?ectiveness of multi-objective evolutionary algorithms has made them very popular in a variety of domains. Swarm intelligence refers to certain population-based metaheuristics that are inspired on the behavior of groups of ... Read more

Product Details

Format
Paperback
Publication date
2012
Publisher
Springer Germany
Number of pages
287
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
287
Place of Publication
Berlin, Germany
ISBN
9783642260537
SKU
V9783642260537
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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