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|a 9783662463093
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|a 10.1007/978-3-662-46309-3
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|a Multi-objective Swarm Intelligence
|h [electronic resource] :
|b Theoretical Advances and Applications /
|c edited by Satchidananda Dehuri, Alok Kumar Jagadev, Mrutyunjaya Panda.
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250 |
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|a 1st ed. 2015.
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264 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2015.
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300 |
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|a XIV, 201 p. 60 illus., 11 illus. in color.
|b online resource.
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|a Studies in Computational Intelligence,
|x 1860-949X ;
|v 592
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|a Springer eBook Collection
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|a Introduction -- Behavior of Bacterial Colony -- E.coli Bacterial Colonies -- Optimization based on E.coli Bacterial Colony -- Classification of BFO Algorithm -- Multi-objective optimization based on BF -- An overview of BFO Applications -- Conclusion.
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|a The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis. Without compromising the extensive simulation study, a comparative study of variants of MOPSO is provided in chapter 3. Intractable problems like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO. .
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|a Loaded electronically.
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|a Electronic access restricted to members of the Holy Cross Community.
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|a Computational intelligence.
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|a Artificial intelligence.
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690 |
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|a Electronic resources (E-books)
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700 |
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|a Dehuri, Satchidananda.
|e editor.
|4 edt
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700 |
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|a Jagadev, Alok Kumar.
|e editor.
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|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Panda, Mrutyunjaya.
|e editor.
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