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, modeling 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.
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