Volume 7, Issue 3, June 2014, Pages 401 - 417
Application of Artificial Capital Market in Task Allocation in Multi-robot Foraging
Adel Akbarimajd, Ghader Simzan
Received 4 April 2013, Accepted 21 December 2013, Available Online 1 June 2014.
- https://doi.org/10.1080/18756891.2014.922814How to use a DOI?
- Task Allocation, Foraging Robots, Distributed Artificial Intelligence, Multi-agent Systems, Capital Market Mechanism
- Because of high speed, efficiency, robustness and flexibility of multi-agent systems, in recent years there has been an increasing interest in the art of these systems. Artificial market mechanisms are one of the well-known negotiation multi-agent protocols in multi-agent systems. In this paper artificial capital market as a new variant of market mechanism is introduced and employed in a multi-robot foraging problem. In this artificial capital market, the robots are going to benefit via investment on some assets, defined as doing foraging task. Each investment has a cost and an outcome. Limited initial capital of the investors constrains their investments. A negotiation protocol is proposed for decision making of the agents. Qualitative analysis reveals speed of convergence, near optimal solutions and robustness of the algorithm. Numerical analysis shows advantages of the proposed method over two previously developed heuristics in terms of four performance criteria.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - JOUR AU - Adel Akbarimajd AU - Ghader Simzan PY - 2014 DA - 2014/06 TI - Application of Artificial Capital Market in Task Allocation in Multi-robot Foraging JO - International Journal of Computational Intelligence Systems SP - 401 EP - 417 VL - 7 IS - 3 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2014.922814 DO - https://doi.org/10.1080/18756891.2014.922814 ID - Akbarimajd2014 ER -