Table of Contents

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