03647nam 22006615 450 991029969590332120200701145934.03-662-46309-110.1007/978-3-662-46309-3(CKB)3710000000379729(SSID)ssj0001465620(PQKBManifestationID)11821051(PQKBTitleCode)TC0001465620(PQKBWorkID)11479747(PQKB)10126769(DE-He213)978-3-662-46309-3(MiAaPQ)EBC6294764(MiAaPQ)EBC5590593(Au-PeEL)EBL5590593(OCoLC)905219397(PPN)184895332(EXLCZ)99371000000037972920150310d2015 u| 0engurnn|008mamaatxtccrMulti-objective Swarm Intelligence[electronic resource] Theoretical Advances and Applications /edited by Satchidananda Dehuri, Alok Kumar Jagadev, Mrutyunjaya Panda1st ed. 2015.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2015.1 online resource (XIV, 201 p. 60 illus., 11 illus. in color.) Studies in Computational Intelligence,1860-949X ;592Bibliographic Level Mode of Issuance: Monograph3-662-46308-3 Includes bibliographical references.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.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.       .Studies in Computational Intelligence,1860-949X ;592Computational intelligenceArtificial intelligenceComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computational intelligence.Artificial intelligence.Computational Intelligence.Artificial Intelligence.006.3824Dehuri Satchidanandaedthttp://id.loc.gov/vocabulary/relators/edtJagadev Alok Kumaredthttp://id.loc.gov/vocabulary/relators/edtPanda Mrutyunjayaedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910299695903321Multi-objective Swarm Intelligence1465802UNINA