TY  - BOOK
AU  - Dehuri,Satchidananda
AU  - Jagadev,Alok Kumar
AU  - Panda,Mrutyunjaya
ED  - SpringerLink (Online service)
TI  - Multi-objective Swarm Intelligence: Theoretical Advances and Applications 
T2  - Studies in Computational Intelligence,
SN  - 9783662463093
AV  - Q342 
U1  - 006.3 23
PY  - 2015///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - engineering
KW  - Artificial intelligence
KW  - Computational Intelligence
KW  - Engineering
KW  - Artificial Intelligence (incl. Robotics)
N1  - 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
N2  - 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.       
UR  - http://dx.doi.org/10.1007/978-3-662-46309-3
ER  -