Balancing collective exploration and exploitation in multi-agent and multi-robot systems: A review

HL Kwa, J Leong Kit, R Bouffanais - Frontiers in Robotics and AI, 2022 - frontiersin.org
Multi-agent systems and multi-robot systems have been recognized as unique solutions to
complex dynamic tasks distributed in space. Their effectiveness in accomplishing these …

B-MFO: a binary moth-flame optimization for feature selection from medical datasets

MH Nadimi-Shahraki, M Banaie-Dezfouli, H Zamani… - Computers, 2021 - mdpi.com
Advancements in medical technology have created numerous large datasets including
many features. Usually, all captured features are not necessary, and there are redundant …

[图书][B] Dynamics and analysis of alignment models of collective behavior

R Shvydkoy - 2021 - Springer
Collective phenomena occur in nature, technology, and social behavior in a vast variety of
contexts. For example, birds and fish use their sensory abilities to communicate and align …

Multitarget tracking control for coupled heterogeneous inertial agents systems based on flocking behavior

S Chen, H Pei, Q Lai, H Yan - IEEE Transactions on Systems …, 2018 - ieeexplore.ieee.org
In this paper, the flocking behavior and targets consensus tracking problems of
heterogeneous multiple inertial agents with limited communication ranges are investigated …

Optimal network topology for responsive collective behavior

D Mateo, N Horsevad, V Hassani, M Chamanbaz… - Science …, 2019 - science.org
Animals, humans, and multi-robot systems operate in dynamic environments, where the
ability to respond to changing circumstances is paramount. An effective collective response …

A novel adaptive hybrid crossover operator for multiobjective evolutionary algorithm

Q Zhu, Q Lin, Z Du, Z Liang, W Wang, Z Zhu, J Chen… - Information …, 2016 - Elsevier
In this paper, a novel recombination operator, called adaptive hybrid crossover operator
(AHX), is designed for tackling continuous multiobjective optimization problems (MOPs) …

Effect of correlations in swarms on collective response

D Mateo, YK Kuan, R Bouffanais - Scientific reports, 2017 - nature.com
Social interaction increases significantly the performance of a wide range of cooperative
systems. However, evidence that natural swarms limit the number of interactions suggests …

Consensus seeking over Markovian switching networks with time-varying delays and uncertain topologies

Y Shang - Applied Mathematics and Computation, 2016 - Elsevier
Stochastic consensus problems for linear time-invariant multi-agent systems over Markovian
switching networks with time-varying delays and topology uncertainties are dealt with. By …

Learning self-driven collective dynamics with graph networks

R Wang, F Fang, J Cui, W Zheng - Scientific Reports, 2022 - nature.com
Despite decades of theoretical research, the nature of the self-driven collective motion
remains indigestible and controversial, while the phase transition process of its dynamic is a …

High performance magneto-fluorescent nanoparticles assembled from terbium and gadolinium 1, 3-diketones

R Zairov, A Mustafina, N Shamsutdinova, I Nizameev… - Scientific reports, 2017 - nature.com
Polyelectrolyte-coated nanoparticles consisting of terbium and gadolinium complexes with
calix [4] arene tetra-diketone ligand were first synthesized. The antenna effect of the ligand …