Innovations in Swarm Intelligence

✍ Scribed by Chee Peng Lim, Lakhmi C. Jain (auth.), Chee Peng Lim, Lakhmi C. Jain, Satchidananda Dehuri (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2009
• Tongue: English
• Leaves: 256
• Series: Studies in Computational Intelligence 248
• Edition: 1
• Category: Library

✦ Synopsis

Over the past two decades, swarm intelligence has emerged as a powerful approach to solving optimization as well as other complex problems. Swarm intelligence models are inspired by social behaviours of simple agents interacting among themselves as well as with the environment, e.g., flocking of birds, schooling of fish, foraging of bees and ants. The collective behaviours that emerge out of the interactions at the colony level are useful in achieving complex goals.

The main aim of this research book is to present a sample of recent innovations and advances in techniques and applications of swarm intelligence. Among the topics covered in this book include:

• particle swarm optimization and hybrid methods
• ant colony optimization and hybrid methods
• bee colony optimization, glowworm swarm optimization, and complex social swarms
• application of various swarm intelligence models to operational planning of energy plants, modelling and control of nanorobots, classification of documents, identification of disease biomarkers, and prediction of gene signals

The book is directed to researchers, practicing professionals, and undergraduate as well as graduate students of all disciplines who are interested in enhancing their knowledge in techniques and applications of swarm intelligence.

✦ Table of Contents

Front Matter....Pages -
Advances in Swarm Intelligence....Pages 1-7
A Review of Particle Swarm Optimization Methods Used for Multimodal Optimization....Pages 9-37
Bee Colony Optimization (BCO)....Pages 39-60
Glowworm Swarm Optimization for Searching Higher Dimensional Spaces....Pages 61-75
Agent Specialization in Complex Social Swarms....Pages 77-89
Computational Complexity of Ant Colony Optimization and Its Hybridization with Local Search....Pages 91-120
A Multi-resolution GA-PSO Layered Encoding Cascade Optimization Model....Pages 121-140
Integrating Swarm Intelligent Algorithms for Translation Initiation Sites Prediction....Pages 141-157
Particle Swarm Optimization for Optimal Operational Planning of Energy Plants....Pages 159-173
Modelling Nanorobot Control Using Swarm Intelligence: A Pilot Study....Pages 175-214
ACO Hybrid Algorithm for Document Classification System....Pages 215-236
Identifying Disease-Related Biomarkers by Studying Social Networks of Genes....Pages 237-253
Back Matter....Pages -

✦ Subjects

Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)