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
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Author: Tony White.
Email: tony@sce.carleton.ca
Home Page: http://www.sce.carleton.ca/researchers/tony/index.html
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