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...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2006.
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| 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.