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ORCID9th ANTS Conference 2014: Brussels, Belgium
- Marco Dorigo, Mauro Birattari, Simon Garnier
, Heiko Hamann, Marco Antonio Montes de Oca, Christine Solnon, Thomas Stützle:
Swarm Intelligence - 9th International Conference, ANTS 2014, Brussels, Belgium, September 10-12, 2014. Proceedings. Lecture Notes in Computer Science 8667, Springer 2014, ISBN 978-3-319-09951-4 - Khalid M. Salama, Ashraf M. Abdelbar:
A Novel Ant Colony Algorithm for Building Neural Network Topologies. 1-12 - Diego Díaz, Pablo Valledor, Paula Areces, Jorge Rodil, Montserrat Suárez:
An ACO Algorithm to Solve an Extended Cutting Stock Problem for Scrap Minimization in a Bar Mill. 13-24 - Gianpiero Francesca, Manuele Brambilla, Arne Brutschy, Lorenzo Garattoni, Roman Miletitch, Gaëtan Podevijn, Andreagiovanni Reina, Touraj Soleymani, Mattia Salvaro, Carlo Pinciroli, Vito Trianni, Mauro Birattari:
An Experiment in Automatic Design of Robot Swarms - AutoMoDe-Vanilla, EvoStick, and Human Experts. 25-37 - Barend J. Leonard, Andries P. Engelbrecht:
Angle Modulated Particle Swarm Variants. 38-49 - Leslie Pérez Cáceres, Manuel López-Ibáñez, Thomas Stützle:
Ant Colony Optimization on a Budget of 1000. 50-61 - Yuri K. Lopes, André B. Leal, Tony J. Dodd, Roderich Groß:
Application of Supervisory Control Theory to Swarms of e-puck and Kilobot Robots. 62-73 - Christian Blum, Maria J. Blesa, Borja Calvo:
Can Frogs Find Large Independent Sets in a Decentralized Way? Yes They Can! 74-85 - Phlippie Bosman, Andries P. Engelbrecht:
Diversity Rate of Change Measurement for Particle Swarm Optimisers. 86-97 - Elio Tuci:
Evolutionary Swarm Robotics: Genetic Diversity, Task-Allocation and Task-Switching. 98-109 - Katie Long Genter, Peter Stone:
Influencing a Flock via Ad Hoc Teamwork. 110-121 - Héctor D. Menéndez, Fernando E. B. Otero, David Camacho:
MACOC: A Medoid-Based ACO Clustering Algorithm. 122-133 - Christopher Wesley Cleghorn, Andries P. Engelbrecht:
Particle Swarm Convergence: Standardized Analysis and Topological Influence. 134-145 - Silvino Fernandez, Segundo Álvarez García, Diego Díaz, Miguel Iglesias, Borja Ena:
Scheduling a Galvanizing Line by Ant Colony Optimization. 146-157 - Michael Allwright, Navneet Bhalla, Haitham El-faham, Anthony Antoun, Carlo Pinciroli, Marco Dorigo:
SRoCS: Leveraging Stigmergy on a Multi-robot Construction Platform for Unknown Environments. 158-169 - Heiko Hamann, Gabriele Valentini:
Swarm in a Fly Bottle: Feedback-Based Analysis of Self-organizing Temporary Lock-ins. 170-181 - Manuel Castillo-Cagigal, Arne Brutschy, Álvaro Gutiérrez, Mauro Birattari:
Temporal Task Allocation in Periodic Environments - An Approach Based on Synchronization. 182-193 - Andreagiovanni Reina, Marco Dorigo, Vito Trianni:
Towards a Cognitive Design Pattern for Collective Decision-Making. 194-205
Short Papers
- Daniel Leal Souza, Otávio Noura Teixeira, Dionne Cavalcante Monteiro, Roberto Célio Limão de Oliveira, Marco Antônio Florenzano Mollinetti:
A Novel Competitive Quantum-Behaviour Evolutionary Multi-Swarm Optimizer Algorithm Based on CUDA Architecture Applied to Constrained Engineering Design. 206-213 - David King, Philip Breedon:
Cooperative Object Recognition: Behaviours of a Artificially Evolved Swarm. 214-221 - Daniel W. Palmer, David W. Piraino, Nancy A. Obuchowski, Jennifer A. Bullen:
Emergent Diagnoses from a Collective of Radiologists: Algorithmic versus Social Consensus Strategies. 222-229 - Kevin M. Barresi:
Foraging Agent Swarm Optimization with Applications in Data Clustering. 230-237 - Kazuhiro Ohkura, Toshiyuki Yasuda, Yoshiyuki Matsumura, Masaki Kadota:
GPU Implementation of Food-Foraging Problem for Evolutionary Swarm Robotics Systems. 238-245 - Jade Z. Abbott, Andries P. Engelbrecht:
Nature-Inspired Swarm Robotics Algorithms for Prioritized Foraging. 246-253 - Ian Broderick, Enda Howley:
Particle Swarm Optimisation with Enhanced Memory Particles. 254-261 - Hongli Ding, Heiko Hamann:
Sorting in Swarm Robots Using Communication-Based Cluster Size Estimation. 262-269 - Stephen M. Majercik:
Using Fluid Neural Networks to Create Dynamic Neighborhood Topologies in Particle Swarm Optimization. 270-277
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