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ORCIDSwarm Intelligence, Volume 16
Volume 16, Number 1, March 2022
- Claus Aranha
, Christian Leonardo Camacho-Villalón, Felipe Campelo, Marco Dorigo, Rubén Ruiz, Marc Sevaux, Kenneth Sörensen, Thomas Stützle:
Metaphor-based metaheuristics, a call for action: the elephant in the room. 1-6 - Fan Jiang, Hui Cheng, Guanrong Chen:
Collective decision-making for dynamic environments with visual occlusions. 7-27 - Trung Nguyen, Bikramjit Banerjee:
Reinforcement learning as a rehearsal for swarm foraging. 29-58 - Aya Hussein, Sondoss Elsawah, Eleni Petraki, Hussein A. Abbass:
A machine education approach to swarm decision-making in best-of-n problems. 59-90
Volume 16, Number 2, June 2022
- Andrea Costanzo, Hanno Hildenbrandt, Charlotte K. Hemelrijk:
Causes of variation of darkness in flocks of starlings, a computational model. 91-105 - Jayam Patel, Prajankya Sonar, Carlo Pinciroli:
On multi-human multi-robot remote interaction: a study of transparency, inter-human communication, and information loss in remote interaction. 107-142 - Pawel Jocko, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
Multi-guide particle swarm optimisation archive management strategies for dynamic optimisation problems. 143-168
Volume 16, Number 3, September 2022
- Seoung Kyou Lee:
Distributed deformable configuration control for multi-robot systems with low-cost platforms. 169-209 - Roman Miletitch, Andreagiovanni Reina, Marco Dorigo, Vito Trianni:
Emergent naming conventions in a foraging robot swarm. 211-232 - Hyo-Sang Shin, Teng Li, Hae-In Lee, Antonios Tsourdos:
Sample greedy based task allocation for multiple robot systems. 233-260
Volume 16, Number 4, December 2022
- Francesco D'Amore, Andrea Clementi, Emanuele Natale:
Phase transition of a nonlinear opinion dynamics with noisy interactions. 261-304 - Olayinka Idowu Oduntan, Parimala Thulasiraman:
Blending multiple algorithmic granular components: a recipe for clustering. 305-349
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