Journal: Nature Communications
Article Title: A collective intelligence model for swarm robotics applications
doi: 10.1038/s41467-025-61985-7
Figure Lengend Snippet: Histogram matrices of success rate SR ( a ) and mean number of function evaluations 〈FE〉 ( b ). Each row corresponds to a landscape function (the reader is referred to section 4 of SI for landscape formulas), whereas each column corresponds to a dimension, N . The single histogram compares SR or 〈FE〉 of three methods, Particle Swarm Optimization (PSO), Multistart Interior-Point Algorithm (MIPA) and Swarm Cooperation Model (SCM), for different swarm sizes, M . The box plots about 〈FE〉 indicates the mean value and the corresponding standard deviation.
Article Snippet: MIPA optimization has been performed with the MultiStart function available in Matlab .
Techniques: Standard Deviation