Ant Colony Optimization and Swarm Intelligence 4th International Workshop, ANTS 2004, Brussels, Belgium, September 5-8, 2004. Proceedings /

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Dorigo, Marco (Επιμελητής έκδοσης), Birattari, Mauro (Επιμελητής έκδοσης), Blum, Christian (Επιμελητής έκδοσης), Gambardella, Luca Maria (Επιμελητής έκδοσης), Mondada, Francesco (Επιμελητής έκδοσης), Stützle, Thomas (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2004.
Σειρά:Lecture Notes in Computer Science, 3172
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • A Comparison Between ACO Algorithms for the Set Covering Problem
  • 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
  • S-ACO: An Ant-Based Approach to Combinatorial Optimization Under Uncertainty
  • Time-Scattered Heuristic for the Hardware Implementation of Population-Based ACO
  • Short Papers
  • Ad Hoc Networking with Swarm Intelligence
  • An Ant Colony Heuristic for the Design of Two-Edge Connected Flow Networks
  • An Experimental Analysis of Loop-Free Algorithms for Scale-Free Networks
  • An Experimental Study of the Ant Colony System for the Period Vehicle Routing Problem
  • An Extension of Ant Colony System to Continuous Optimization Problems
  • Ant Algorithms for Urban Waste Collection Routing
  • Ants Can Play Music
  • Backtracking Ant System for the Traveling Salesman Problem
  • Colored Ants for Distributed Simulations
  • Dynamic Routing in Mobile Wireless Networks Using ABC-AdHoc
  • Fuzzy Ant Based Clustering
  • How to Use Ants for Hierarchical Clustering
  • Inversing Mechanical Parameters of Concrete Gravity Dams Using Ant Colony Optimization
  • Large Pheromones: A Case Study with Multi-agent Physical A*
  • Near Parameter Free Ant Colony Optimisation
  • Particle Swarm Optimization Algorithm for Permutation Flowshop Sequencing Problem
  • Search Bias in Constructive Metaheuristics and Implications for Ant Colony Optimisation
  • Task Oriented Functional Self-organization of Mobile Agents Team: Memory Optimization Based on Correlation Feature
  • Towards a Real Micro Robotic Swarm
  • Posters
  • A Hybrid Ant Colony System Approach for the Capacitated Vehicle Routing Problem
  • A Swarm-Based Approach for Selection of Signal Plans in Urban Scenarios
  • Ant Colony Behaviour as Routing Mechanism to Provide Quality of Service
  • Applying Ant Colony Optimization to the Capacitated Arc Routing Problem
  • Dynamic Optimization Through Continuous Interacting Ant Colony
  • Dynamic Routing in Traffic Networks Using AntNet
  • First Competitive Ant Colony Scheme for the CARP
  • Hypothesis Corroboration in Semantic Spaces with Swarming Agents
  • Mesh-Partitioning with the Multiple Ant-Colony Algorithm.