- Roman Miletitch, Marco Dorigo
, Vito Trianni:
Balancing exploitation of renewable resources by a robot swarm. Swarm Intell. 12(4): 307-326 (2018) - Lenka Pitonakova, Richard Crowder, Seth Bullock:
The Information-Cost-Reward framework for understanding robot swarm foraging. Swarm Intell. 12(1): 71-96 (2018) - Fabrice Saffre, Hanno Hildmann, Jean-Louis Deneubourg:
Can individual heterogeneity influence self-organised patterns in the termite nest construction model? Swarm Intell. 12(2): 101-110 (2018) - Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl:
Reinforcement learning in a continuum of agents. Swarm Intell. 12(1): 23-51 (2018) - Adrian Sosic, Abdelhak M. Zoubir, Heinz Koeppl:
Correction to: Reinforcement learning in a continuum of agents. Swarm Intell. 12(4): 361 (2018) - Gabriele Valentini, Anthony Antoun, Marco Trabattoni, Bernát Wiandt, Yasumasa Tamura, Etienne Hocquard, Vito Trianni, Marco Dorigo:
Kilogrid: a novel experimental environment for the Kilobot robot. Swarm Intell. 12(3): 245-266 (2018) - Todd Wareham, Andrew Vardy:
Putting it together: the computational complexity of designing robot controllers and environments for distributed construction. Swarm Intell. 12(2): 111-128 (2018) - 2017
- Muhanad H. Mohammed Alkilabi, Aparajit Narayan, Elio Tuci:
Cooperative object transport with a swarm of e-puck robots: robustness and scalability of evolved collective strategies. Swarm Intell. 11(3-4): 185-209 (2017) - Dogan Aydin, Gürcan Yavuz, Thomas Stützle:
ABC-X: a generalized, automatically configurable artificial bee colony framework. Swarm Intell. 11(1): 1-38 (2017) - Levi Itzhak Bellaiche, Alfred M. Bruckstein:
Continuous time gathering of agents with limited visibility and bearing-only sensing. Swarm Intell. 11(3-4): 271-293 (2017) - Olacir R. Castro Jr., Aurora T. R. Pozo, José Antonio Lozano, Roberto Santana:
An investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study. Swarm Intell. 11(2): 101-130 (2017) - Marco Dorigo, Mauro Birattari, Xiaodong Li, Manuel López-Ibáñez, Kazuhiro Ohkura, Carlo Pinciroli, Thomas Stützle:
ANTS 2016 special issue: Editorial. Swarm Intell. 11(3-4): 181-183 (2017) - Adam Erskine, Thomas Joyce, J. Michael Herrmann:
Stochastic stability of particle swarm optimisation. Swarm Intell. 11(3-4): 295-315 (2017) - Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello:
A new indicator-based many-objective ant colony optimizer for continuous search spaces. Swarm Intell. 11(1): 71-100 (2017) - Morten Goodwin, Torry Tufteland, Guro Ødesneltvedt, Anis Yazidi:
PolyACO+: a multi-level polygon-based ant colony optimisation classifier. Swarm Intell. 11(3-4): 317-346 (2017) - Bahar Haghighat, Alcherio Martinoli:
Automatic synthesis of rulesets for programmable stochastic self-assembly of rotationally symmetric robotic modules. Swarm Intell. 11(3-4): 243-270 (2017) - Yara Khaluf, Carlo Pinciroli, Gabriele Valentini, Heiko Hamann:
The impact of agent density on scalability in collective systems: noise-induced versus majority-based bistability. Swarm Intell. 11(2): 155-179 (2017) - Bernd Meyer:
Optimal information transfer and stochastic resonance in collective decision making. Swarm Intell. 11(2): 131-154 (2017) - Khalid M. Salama, Ashraf M. Abdelbar:
Learning cluster-based classification systems with ant colony optimization algorithms. Swarm Intell. 11(3-4): 211-242 (2017) - Adam Schroeder, Subramanian Ramakrishnan, Manish Kumar, Brian Trease:
Efficient spatial coverage by a robot swarm based on an ant foraging model and the Lévy distribution. Swarm Intell. 11(1): 39-69 (2017) - 2016
- Enrico Ampellio, Luca Vassio:
A hybrid swarm-based algorithm for single-objective optimization problems involving high-cost analyses. Swarm Intell. 10(2): 99-121 (2016) - Eduardo Castello, Tomoyuki Yamamoto, Fabio Dalla Libera, Wenguo Liu, Alan F. T. Winfield, Yutaka Nakamura, Hiroshi Ishiguro:
Adaptive foraging for simulated and real robotic swarms: the dynamical response threshold approach. Swarm Intell. 10(1): 1-31 (2016) - Marco Dorigo:
Editorial: Ten years of swarm intelligence. Swarm Intell. 10(4): 245-246 (2016) - Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman:
Inertia weight control strategies for particle swarm optimization - Too much momentum, not enough analysis. Swarm Intell. 10(4): 267-305 (2016) - Anshul Kanakia, Behrouz Touri, Nikolaus Correll:
Modeling multi-robot task allocation with limited information as global game. Swarm Intell. 10(2): 147-160 (2016) - Wei Li, Melvin Gauci, Roderich Groß:
Turing learning: a metric-free approach to inferring behavior and its application to swarms. Swarm Intell. 10(3): 211-243 (2016) - Yuri K. Lopes, Stefan M. Trenkwalder, André B. Leal, Tony J. Dodd, Roderich Groß:
Supervisory control theory applied to swarm robotics. Swarm Intell. 10(1): 65-97 (2016) - Héctor D. Menéndez, Fernando E. B. Otero, David Camacho:
Medoid-based clustering using ant colony optimization. Swarm Intell. 10(2): 123-145 (2016) - Luca Mondada, Mohammad Ehsanul Karim, Francesco Mondada:
Electroencephalography as implicit communication channel for proximal interaction between humans and robot swarms. Swarm Intell. 10(4): 247-265 (2016) - Adam P. Piotrowski, Jaroslaw J. Napiorkowski:
Searching for structural bias in particle swarm optimization and differential evolution algorithms. Swarm Intell. 10(4): 307-353 (2016)
