Ant Colony Optimization and Swarm Intelligence: 4th International Workshop, ANTS 2004, Brussels, Belgium, September 5-8, 2004. ProceedingsAuthor: 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/b99492Table 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, Includes bibliographical references and index