Higher Order Pheromone Models... (final draft).pdf (168.97 kB)
Higher order pheromone models in ant colony optimisation
Ant colony optimisation is a constructive metaheuristic that successively builds solutions from problem-specific components. A parameterised model known as pheromone—an analogue of the trail pheromones used by real ants—is used to learn which components should be combined to produce good solutions. In the majority of the algorithm’s applications a single parameter from the model is used to influence the selection of a single component to add to a solution. Such a model can be described as first order. Higher order models describe relationships between several components in a solution, and may arise either by contriving a model that describes subsets of components from a first order model or because the characteristics of solutions modelled naturally relate subsets of components. This paper introduces a simple framework to describe the application of higher order models as a tool to understanding common features of existing applications. The framework also serves as an introduction to those new to the use of such models. The utility of higher order models is discussed with reference to empirical results in the literature.
History
Publication title
Proceedings of the 5th International Workshop on Ant Colony Optimization and Swarm Intelligence (ANTS 2006)Volume
4150Editors
M Dorigo, LM Gambardella, M Birattari, A Martinoli, R Poli, T StutzlePagination
428-435ISBN
9783540384823Department/School
School of Information and Communication TechnologyPublisher
Springer-VerlagPlace of publication
BerlinEvent title
5th International Workshop on Ant Colony Optimization and Swarm Intelligence (ANTS 2006)Event Venue
Brussels, BelgiumDate of Event (Start Date)
2006-09-04Date of Event (End Date)
2006-09-07Rights statement
Copyright 2006 Springer-Verlag Berlin HeidelbergRepository Status
- Open