Swarm Intelligence: A Gentle Introduction with applications Tony White email: tony@sce.carleton.ca

8/29/97


Click here to start


Table of Contents

Swarm Intelligence: A Gentle Introduction with applications Tony White email: tony@sce.carleton.ca

Overview

What is Swarm Intelligence?

What is Swarm Intelligence (cont.)?

Motivations

Emergent Problem Solving

Stigmergy

Ant Colony

Pheromone Trails

Pheromone Trails continued

The Ant System: TSP

The Ant System: TSP routing

Ant System: TSP algorithm

Ant System: TSP models

Experimental studies

Ant System Parameter Sensitivity

Exploiting ant synergy

Exploiting ant synergy

Ant System: Other heuristics

Ant System: Routing Problem

Ant System: Why Routing?

Ant System: Routing Research

Ant System: Agent types

Ant System: Point-2-Point

Ant System: Path Emergence

Ant System: explorer agent algorithm

Ant System: Point-2-Multipoint

Ant System: Routing Function

Ant System: Allocator agents

Ant System: Experimental Parameters (fixed)

Ant System: Results

Ant System: Results

Ant System: Cost Fn Results

Ant System: Self Adaptation

Ant System: Continuous Spaces

AS: Continuous Spaces

AS: Stepping

AS: Continuous Search

AS: Cooperation

Extensions

Pheromone Interactions (mPAC)

Examples of mPAC systems

Examples of mPAC systems

Futuristic?

Ant Colony WWW references

Author: Tony White.

Email: tony@sce.carleton.ca

Home Page: http://www.sce.carleton.ca/researchers/tony/index.html

Download presentation source