Stigmergic Optimization

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...

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Bibliographic Details
Main Authors: Ajith, Abraham (Author), Crina, Grosan (Author), Vitorino, Ramos (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
Series:Studies in Computational Intelligence, 31
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Stigmergic Optimization: Inspiration, Technologies and Perspectives
  • Stigmergic Autonomous Navigation in Collective Robotics
  • A General Approach to Swarm Coordination using Circle Formation
  • Stigmergic Navigation for Multi-Agent Teams in Complex Environments
  • Physically Realistic Self-assembly Simulation System
  • Gliders and Riders: A Particle Swarm Selects for Coherent Space-Time Structures in Evolving Cellular Automata
  • Termite: A swarm intelligent routing algorithm for mobilewireless Ad-Hoc networks
  • Stochastic Diffusion Search: Partial Function Evaluation In Swarm Intelligence Dynamic Optimisation
  • Linear Multi-Objective Particle Swarm Optimization
  • Cooperative Particle Swarm Optimizers: A Powerful and Promising Approach
  • Parallel Particle Swarm Optimization Algorithms with Adaptive Simulated Annealing
  • Swarm Intelligence: Theoretical Proof That Empirical Techniques are Optimal.