Dynamic decentralized task allocation algorithms for multi-agent systems using a greedy auction algorithm.
Master's research at The University of Texas at Austin in the research group of Efstathios Bakolas.
The paper resulting from these simulations has been published at the Modeling, Estimation and Control Conference (MECC 2021).
To cite this work:
Braquet, M. and Bakolas E., "Greedy Decentralized Auction-based Task Allocation for Multi-Agent Systems", Modeling, Estimation and Control Conference (MECC), 2021.
- For the dynamic task allocation, run
OptimalControl_DTA.m. - For the sensitivity analysis of the parameters, run
optimalControlParametersAnalysis.m.
2D map of the dynamic task allocation (10 agents and 10 tasks) with associated reward, cost and utility
With communication limitation:
Without communication limitation:
