[alife] Books on Swarm Intelligence

Ajith Abraham ajith.abraham at ieee.org
Thu May 18 16:56:47 PDT 2006

** Two New Books on Swarm Intelligence **


Editors: Ajith Abraham, Crina Grosan and Vitorino Ramos,
Studies in Computational Intelligence,
Springer Verlag, Germany,
pages 270, ISBN: 3-540-34955-3,2006.

Foreword by James Kennedy:


Swarm Intelligence is an innovative distributed intelligent paradigm
for solving optimization problems that originally took its inspiration
from the biological examples by swarming, flocking and herding
phenomena in vertebrates. Data Mining is an analytic process designed
to explore large amounts of data in search of consistent patterns
and/or systematic relationships between variables, and then to
validate the findings by applying the detected patterns to new subsets
of data.

This book deals with the application of swarm intelligence in data
mining. Addressing the various issues of swarm intelligence and data
mining using different intelligent approaches is the novelty of this
edited volume. This volume comprises of 11 chapters including an
introductory chapter giving the fundamental definitions and some
important research challenges.

- Table of Contents -

- Foreword by Dr. James Kennedy

- Introduction to Swarm Intelligence and Data Mining

- AntMiner+: A max-min ant system building rule-based classifier

- Performing feature selection with ACO

- Simultaneous ant colony optimization algorithms for learning
linguistic fuzzy rules

- Ant colony clustering and feature extraction for anomaly intrusion detection

- Data and text mining with hierarchical clustering ants

- Clustering ensemble using ANT and ART

- Swarm clustering based on flowers pollination by artificial bees

- Computer study of the evolution of 'news foragers' on the Internet

- Data swarm clustering

- Particle Swarm Optimization for Pattern Recognition and Image Processing

Book Catalogue and Order form



Editors: Ajith Abraham, Crina Grosan and Vitorino Ramos
Studies in Computational Intelligence,
Springer Verlag, Germany
pages 300, ISBN: 3-540-34689-9.


Biologists studied the behavior of social insects for a long time.
After millions of years of evolution all these species have developed
incredible solutions for a wide range of problems. The intelligent
solutions to problems naturally emerge from the self-organization and
indirect communication of these individuals. Indirect interactions
occur between two individuals when one of them modifies the
environment and the other responds to the new environment at a later
time. Such an interaction is an example of 'stigmergy'.

This book deals with the application of stigmergy for a variety of
optimization problems. This Volume comprises 12 Chapters including an
introductory chapter giving the fundamental definitions, inspirations
and some research challenges.

- Table of Contents -

-Stigmergic Optimization: Foundations, perspectives and applications

-Stigmergic autonomous navigation in collective robotics

-A general approach to swarm coordination using circle formation

-Cooperative particle swarm optimizers: a powerful and promising approach

-Parallel particle swarm optimization algorithms with adaptive
simulated annealing

-Termite: a swarm intelligent routing algorithm for mobile wireless
ad-hoc networks

-Linear multiobjective particle swarm optimization

-Physically realistic self-assembly simulation system

-Gliders and rders: A particle swarm selects for coherent space-time
structures in evolving cellular automata

-Stigmergic navigation for multi-agent teams in complex environments

-Intelligence: Theoretical proof that empirical techniques are optimal

-Stochastic diffusion search: Partial function evaluation in swarm
intelligence dynamic optimization

Book Catalogue and Order form


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