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 …

Fault detection, diagnosis and recovery using Artificial Immune Systems: A review

N Bayar, S Darmoul, S Hajri-Gabouj… - … Applications of Artificial …, 2015 - Elsevier
Biological immunity is a natural system that protects a host organism against disease
causing elements threatening its normal functioning. It offers many interesting features that …

[HTML][HTML] Application of artificial immune systems in advanced manufacturing

R Pinto, G Gonçalves - Array, 2022 - Elsevier
In recent years, the application of Advanced Manufacturing Technologies (AMT) in industrial
processes represents the introduction of different Advanced Manufacturing Systems (AMS) …

Multi-agent immune networks to control interrupted flow at signalized intersections

S Darmoul, S Elkosantini, A Louati, LB Said - Transportation Research Part …, 2017 - Elsevier
Urban traffic is subject to disturbances that cause long queues and extended waiting times
at signalized intersections. Although Multi-Agent Systems (MAS) were considered to control …

A behavior-driven coordination control framework for target hunting by UUV intelligent swarm

H Liang, Y Fu, F Kang, J Gao, N Qiang - IEEE Access, 2020 - ieeexplore.ieee.org
One of most primitive problems by unmanned underwater vehicle intelligent swarm (UIS) is
coordination control, which has a great significance for realization of target hunting with …

Adaptive immune fuzzy quasi-sliding mode control for leader–follower formation of wheeled mobile robots under uncertainties and disturbances with obstacle …

WJN Goto, D Wildgrube Bertol… - Engineering …, 2024 - emerald.com
Purpose This paper aims to propose a robust kinematic controller based on sliding mode
theory designed to solve the trajectory tracking problem and also the formation control using …

A survey of recent works in artificial immune systems

GC Silva, D Dasgupta - Handbook on Computational Intelligence …, 2016 - World Scientific
This report aims to bring the state-of-the-art of artificial immune systems (AISs) and the
literature review during the last five years, presenting some Immune-based methods, their …

Multi-target trapping in constrained environments using gene regulatory network-based pattern formation

X Peng, S Zhang, X Lei - International Journal of Advanced …, 2016 - journals.sagepub.com
Inspired by the morphogenesis of biological organisms, gene regulatory network-based
methods have been used in complex pattern formation of swarm robotic systems. In this …

An enhanced decentralized artificial immune-based strategy formulation algorithm for swarms of autonomous vehicles

M Stogiannos, A Alexandridis, H Sarimveis - Applied Soft Computing, 2020 - Elsevier
This work presents an algorithmic approach to the problem of strategy assignment to the
members of a swarm of autonomous vehicles. The proposed methodology draws inspiration …

Towards the development of robot immune system: A combined approach involving innate immune cells and T-lymphocytes

M Akram, A Raza - Biosystems, 2018 - Elsevier
Mobile robots in uncertain and unstructuredenvironments frequently encounter faults.
Therefore, an effective fault detection and recovery mechanism is required. One can …