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.
Important features include a detailed overview of all the stigmergic optimization paradigms, excellent coverage of timely, advanced stigmergic optimization topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and application of stigmergic optimization will find the comprehensive coverage of this book invaluable.
Author(s): Dr. Abraham Ajith, Dr. Grosan Crina, Dr. Ramos Vitorino (auth.)
Series: Studies in Computational Intelligence 31
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2006
Language: English
Pages: 299
City: Berlin
Tags: Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)
Front Matter....Pages i-xvii
Stigmergic Optimization: Inspiration, Technologies and Perspectives....Pages 1-24
Stigmergic Autonomous Navigation in Collective Robotics....Pages 25-63
A General Approach to Swarm Coordination using Circle Formation....Pages 65-84
Stigmergic Navigation for Multi-Agent Teams in Complex Environments....Pages 85-116
Physically Realistic Self-assembly Simulation System....Pages 117-130
Gliders and Riders: A Particle Swarm Selects for Coherent Space-Time Structures in Evolving Cellular Automata....Pages 131-154
Termite: A swarm intelligent routing algorithm for mobilewireless Ad-Hoc networks....Pages 155-184
Stochastic Diffusion Search: Partial Function Evaluation In Swarm Intelligence Dynamic Optimisation....Pages 185-207
Linear Multi-Objective Particle Swarm Optimization....Pages 209-238
Cooperative Particle Swarm Optimizers: A Powerful and Promising Approach....Pages 239-259
Parallel Particle Swarm Optimization Algorithms with Adaptive Simulated Annealing....Pages 261-279
Swarm Intelligence: Theoretical Proof That Empirical Techniques are Optimal....Pages 281-295
Back Matter....Pages 297-299
