Multirobot collaborative task dynamic scheduling based on multiagent reinforcement learning with heuristic graph convolution considering robot service performance

J Zhou, L Zheng, W Fan - Journal of Manufacturing Systems, 2024 - Elsevier
To address the problem of multirobot collaborative task scheduling considering the
degradation of industrial robot performance and the recovery of robot performance through …

Simultaneous allocation and sequencing of orders for robotic mobile fulfillment system using reinforcement learning algorithm

SP Subramanian, SK Chandrasekar - Expert Systems with Applications, 2024 - Elsevier
Abstract Robotic Mobile Fulfillment Systems (RMFS) can benefit large e-commerce
warehouse operations significantly. To fulfill the orders received, RMFS deploys mobile …

A multi-objective teaching-learning-based optimizer for a cooperative task allocation problem of weeding robots and spraying drones

CH Wang, QK Pan, XP Li, HY Sang, B Wang - Swarm and Evolutionary …, 2024 - Elsevier
In recent years, both intelligent robots and drones have been widely used in agriculture. This
paper studies a cooperative task allocation problem of weeding robots and spraying drones …

A hybrid of surrogate model and MIGA method for optimization and compensation of steady-state flow force on water hydraulic HSV

S Nie, R Hong, H Ji, Q Liu, S Nie - Flow Measurement and Instrumentation, 2022 - Elsevier
In this research, a hybrid of surrogate model and Multi-island genetic algorithm (MIGA) is
proposed for optimization and compensation of steady-state flow force on water hydraulic …

Task allocation for UAV swarms under communication attacks: An approach based on game theory and negotiation mechanism

D Shen, X Chen, W Qi, L Meng - Journal of the Franklin Institute, 2024 - Elsevier
This research delves into the method of task allocation for Unmanned Aerial Vehicle (UAV)
swarms utilizing game theory and negotiation mechanisms in the face of communication …

Centralized multi-robot logistic system: An approach using the island model genetic algorithm as task scheduler

A Kunz Cechinel, ER De Pieri - International Journal of …, 2024 - journals.sagepub.com
The practicality allied with technological and logistical advances led customers increasingly
to join e-commerce. This phenomenon was even more expanded during the COVID-19 …

Simultaneous allocation and sequencing of orders for robotic mobile fulfillment system using reinforcement learning algorithm

S Perumaal Subramanian, S Kumar Chandrasekar - 2024 - dl.acm.org
Abstract Robotic Mobile Fulfillment Systems (RMFS) can benefit large e-commerce
warehouse operations significantly. To fulfill the orders received, RMFS deploys mobile …

[PDF][PDF] The controller synthesis automation using a dynamic mathematical model and genetic algorithms

V Vysotska, V Lytvyn, S Vladov, O Muzychuk… - 2024 - ceur-ws.org
This research develops a dynamic mathematical model for controller synthesis using genetic
algorithms, surpassing traditional methods by integrating adaptive optimization with …