Towards a Distributed Solution to the Multi-Robot Task Allocation Problem with Energetic and Spatiotemporal Constraints


  • Farouq Zitouni Department of Computer Science, Kasdi Merbah University - Ouargla, Algeria. LIRE Laboratory, Abdelhamid Mehri University - Constantine, Algeria.
  • Saad Harous Department of Computer Science and Software Engineering UAE University - Abu Dhabi, United Arab Emirates.
  • Ramdane Maamri Department of Computer Science, Constantine 2 - Abdelhamid Mehri University, Constantine, LIRE Laboratory, Abdelhamid Mehri University - Constantine, Algeria.



Multi-Robot Systems, Multi-Robot Task Allocation, Energetic Constraints, Spatial Constraints, Temporal Constraints, Objective Function, Parallel Distributed Guided Genetic Algorithms


The multi-robot task allocation problem consists of two distinct sets: a set of tasks (requiring resources) and a set of robots (offering resources); then tasks are allocated to robots; while optimizing a certain objective function, subject to some constraints: e.g. allocate the maximum number of tasks, minimize the distances travelled by robots, etc. In this paper, we propose some objective functions, and our main contribution is the introduction of energetic constraints on multi-robot task allocation problems. In addition, we propose an allocation method (based on parallel distributed guided genetic algorithms) and compare it to two state-of-the-art algorithms. Performed simulations and obtained results show the effectiveness and scalability of our solution, even with a large number of robots and tasks.


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How to Cite

Zitouni, F., Harous, S., & Maamri, R. (2019). Towards a Distributed Solution to the Multi-Robot Task Allocation Problem with Energetic and Spatiotemporal Constraints. Computer Science, 21(1).