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ORCID11th ANTS Conference 2018: Rome, Italy
- Marco Dorigo, Mauro Birattari, Christian Blum
, Anders Lyhne Christensen, Andreagiovanni Reina, Vito Trianni:
Swarm Intelligence - 11th International Conference, ANTS 2018, Rome, Italy, October 29-31, 2018, Proceedings. Lecture Notes in Computer Science 11172, Springer 2018, ISBN 978-3-030-00532-0
Full Papers
- Chiara Gabellieri, Marco Tognon, Lucia Pallottino, Antonio Franchi:
A Study on Force-Based Collaboration in Flying Swarms. 3-15 - Ken Hasselmann, Frédéric Robert, Mauro Birattari:
Automatic Design of Communication-Based Behaviors for Robot Swarms. 16-29 - Jonas Kuckling, Antoine Ligot, Darko Bozhinoski, Mauro Birattari:
Behavior Trees as a Control Architecture in the Automatic Modular Design of Robot Swarms. 30-43 - Rotem Manor, Alfred M. Bruckstein:
Guidance of Swarms with Agents Having Bearing Only and Limited Visibility Sensors. 44-56 - Marco Trabattoni, Gabriele Valentini, Marco Dorigo:
Hybrid Control of Swarms for Resource Selection. 57-70 - Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann:
Local Communication Protocols for Learning Complex Swarm Behaviors with Deep Reinforcement Learning. 71-83 - Payam Zahadat, Daniel Nicolas Hofstadler, Thomas Schmickl:
Morphogenesis as a Collective Decision of Agents Competing for Limited Resource: A Plants Approach. 84-96 - Chanelle Lee, Jonathan Lawry, Alan F. T. Winfield:
Negative Updating Combined with Opinion Pooling in the Best-of-n Problem in Swarm Robotics. 97-108 - Antoine Ligot, Mauro Birattari:
On Mimicking the Effects of the Reality Gap with Simulation-Only Experiments. 109-122 - Mario Coppola, Guido C. H. E. de Croon:
Optimization of Swarm Behavior Assisted by an Automatic Local Proof for a Pattern Formation Task. 123-134 - Anna Font Llenas, Mohamed S. Talamali, Xu Xu, James A. R. Marshall, Andreagiovanni Reina:
Quality-Sensitive Foraging by a Robot Swarm Through Virtual Pheromone Trails. 135-149 - Zainab Husain, Dymitr Ruta, Fabrice Saffre, Yousof Al-Hammadi, Abdel F. Isakovic:
Search in a Maze-Like Environment with Ant Algorithms: Complexity, Size and Energy Study. 150-162 - Gary Pamparà, Andries P. Engelbrecht:
Self-adaptive Quantum Particle Swarm Optimization for Dynamic Environments. 163-175 - Carlo Pinciroli, Mohamed S. Talamali, Andreagiovanni Reina, James A. R. Marshall, Vito Trianni:
Simulating Kilobots Within ARGoS: Models and Experimental Validation. 176-187 - Michael Allwright, Navneet Bhalla, Carlo Pinciroli, Marco Dorigo:
Simulating Multi-robot Construction in ARGoS. 188-200 - Christopher Wesley Cleghorn, Christiaan Scheepers, Andries P. Engelbrecht:
Stability Analysis of the Multi-objective Multi-guided Particle Swarm Optimizer. 201-212 - Giuseppe Primiero, Elio Tuci, Jacopo Tagliabue, Eliseo Ferrante:
Swarm Attack: A Self-organized Model to Recover from Malicious Communication Manipulation in a Swarm of Simple Simulated Agents. 213-224 - Jorge C. Gomes, Anders Lyhne Christensen:
Task-Agnostic Evolution of Diverse Repertoires of Swarm Behaviours. 225-238 - Judhi Prasetyo, Giulia De Masi, Pallavi Ranjan, Eliseo Ferrante:
The Best-of-n Problem with Dynamic Site Qualities: Achieving Adaptability with Stubborn Individuals. 239-251 - Yara Khaluf, Ilja Rausch, Pieter Simoens:
The Impact of Interaction Models on the Coherence of Collective Decision-Making: A Case Study with Simulated Locusts. 252-263 - Elre T. Oldewage, Andries P. Engelbrecht, Christopher Wesley Cleghorn:
The Importance of Component-Wise Stochasticity in Particle Swarm Optimization. 264-276 - Lenka Pitonakova, Richard Crowder, Seth Bullock:
The Importance of Information Flow Regulation in Preferentially Foraging Robot Swarms. 277-289 - Heiko Hamann:
The Role of Largest Connected Components in Collective Motion. 290-301 - Christian Leonardo Camacho-Villalón, Marco Dorigo, Thomas Stützle:
Why the Intelligent Water Drops Cannot Be Considered as a Novel Algorithm. 302-314
Short Papers
- Nicolás Rojas-Morales, María Cristina Riff, Carlos A. Coello Coello, Elizabeth Montero:
A Cooperative Opposite-Inspired Learning Strategy for Ant-Based Algorithms. 317-324 - Lázaro Lugo, Marilyn Bello, Ann Nowé, Rafael Bello:
A Solution for the Team Selection Problem Using ACO. 325-332 - Elre T. Oldewage, Andries P. Engelbrecht, Christopher Wesley Cleghorn:
Boundary Constraint Handling Techniques for Particle Swarm Optimization in High Dimensional Problem Spaces. 333-341 - Ashraf M. Abdelbar, Khalid M. Salama:
Does the ACO \mathbb _R Algorithm Benefit from the Use of Crossover? 342-350 - Nicolas Cambier, Vincent Frémont, Vito Trianni, Eliseo Ferrante:
Embodied Evolution of Self-organised Aggregation by Cultural Propagation. 351-359 - Ryouei Takahashi, Yukihiro Nakamura, Toshihide Ibaraki:
Experimental Evaluation of ACO for Continuous Domains to Solve Function Optimization Problems. 360-367 - Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
Gaussian-Valued Particle Swarm Optimization. 368-377 - Kazutaka Shoji:
Individual Activity Level and Mobility Patterns of Ants Within Nest Site. 378-384 - Ovunc Tuzel, Gilberto Marcon dos Santos, Chloë Fleming, Julie A. Adams:
Learning Based Leadership in Swarm Navigation. 385-394 - Iñaki Fernández Pérez, Amine M. Boumaza, François Charpillet:
Maintaining Diversity in Robot Swarms with Distributed Embodied Evolution. 395-402 - Ariel Barel, Rotem Manor, Alfred M. Bruckstein:
On Steering Swarms. 403-410 - Palina Bartashevich, Welf Knors, Sanaz Mostaghim:
Vector Field Benchmark for Collective Search in Unknown Dynamic Environments. 411-419
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