Multi-objective Swarm Intelligence

Theoretical Advances and Applications

AvSatchidananda Dehuri,Alok Kumar Jagadev

Inbunden, Engelska, 2015

Del 592 i serien Studies in Computational Intelligence

1 142 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2015-03-26
Mått:155 x 235 x 18 mm
Vikt:494 g
Format:Inbunden
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:201
Upplaga:2015
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783662463086

Utforska kategorier

Artificiell intelligens inom Data och IT

Innehållsförteckning

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.