Ant Colony Optimization and Swarm Intelligence: 4th International Workshop, ANTS 2004, Brussels, Belgium, September 5-8, 2004. Proceedings
Author: Marco Dorigo, Mauro Birattari, Christian Blum, Luca Maria Gambardella, Francesco Mondada, Thomas Stützle
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-22672-7
DOI: 10.1007/b99492

Table of Contents:

A Comparison Between ACO Algorithms for the Set Covering Problem
A VLSI Multiplication-and-Add Scheme Based on Swarm Intelligence Approaches
ACO for Continuous and Mixed-Variable Optimization
An Ant Approach to Membership Overlay Design
An Ant Colony Optimisation Algorithm for the Set Packing Problem
An Empirical Analysis of Multiple Objective Ant Colony Optimization Algorithms for the Bi-criteria TSP
An External Memory Implementation in Ant Colony Optimization
BeeHive: An Efficient Fault-Tolerant Routing Algorithm Inspired by Honey Bee Behavior
Competition Controlled Pheromone Update for Ant Colony Optimization
Cooperative Transport of Objects of Different Shapes and Sizes
Deception in Ant Colony Optimization
Evolution of Direct Communication for a Swarm-bot Performing Hole Avoidance
Gathering Multiple Robotic A(ge)nts with Limited Sensing Capabilities
Improvements on Ant Routing for Sensor Networks
Integrating ACO and Constraint Propagation
Logistic Constraints on 3D Termite Construction
Modeling Ant Behavior Under a Variable Environment
Multi-type Ant Colony: The Edge Disjoint Paths Problem
On the Design of ACO for the Biobjective Quadratic Assignment Problem
Reasons of ACO’s Success in TSP