Multi-objective Swarm Intelligence Theoretical Advances and Applications /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Dehuri, Satchidananda (Editor), Jagadev, Alok Kumar (Editor), Panda, Mrutyunjaya (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
• Series: Studies in Computational Intelligence, 592
• Subjects: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

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 present...

Table of Contents:

• 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.