Innovations in Swarm Intelligence (Studies in Computational Intelligence, 248)

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. 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 -