Comparing Adaptive and Non-adaptive Models of Cargo Transportation in Multi-agent System for Real Time Truck Scheduling

Oleg Granichin, Petr Skobelev, Alexander Lada, Igor Mayorov, Alexander Tsarev

2012

Abstract

The application of multi-agent platform for real-time adaptive scheduling of trucks is considered. In case of unpredictable events the system works adaptively and doesn’t stop to restart the plan from the beginning. Different models of cargo transportation for truck companies having own fleet are analysed. The results show that using adaptive scheduling in real time it is possible to create significantly more profitable schedules (up to 40-60% compared with rigid models) and save a number of trucks (up to 20%) for the same amount of orders.

References

  1. Leung , Y-T., 2004. Handbook of Scheduling: Algorithms, Models and Performance Analysis. Chapman & Hall. London.
  2. Bonabeau, E., Theraulaz, G., 2000. Swarm Smarts. What computers are learning from them? Scientific American, vol. 282, no. 3, pp. 54-61.
  3. Wooldridge, M., 2002. An Introduction to Multi-Agent Systems. JohnWiley & Sons. London, 2nd edition.
  4. Skobelev, P.: Multi-agent technology for real time resource allocation, scheduling, optimization and controlling in industrial applications, 2011. In HoloMAS 2011, 5th International Confrence on Industrial Applications of Holonic and Multi-Agent Systems. Springer. Berlin. pp. 1-14.
  5. Ivaschenko, A., Skobelev, P., Tsarev, A., 2011. 'Smart solutions' multi-agent platform for dynamic transportation scheduling. In ICAART 2011, 3rd International Conference on Agents and Artificial Intelligence, vol. 2, pp. 372-375.
Download


Paper Citation


in Harvard Style

Granichin O., Skobelev P., Lada A., Mayorov I. and Tsarev A. (2012). Comparing Adaptive and Non-adaptive Models of Cargo Transportation in Multi-agent System for Real Time Truck Scheduling . In Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2012) ISBN 978-989-8565-33-4, pages 282-285. DOI: 10.5220/0004148602820285


in Bibtex Style

@conference{ecta12,
author={Oleg Granichin and Petr Skobelev and Alexander Lada and Igor Mayorov and Alexander Tsarev},
title={Comparing Adaptive and Non-adaptive Models of Cargo Transportation in Multi-agent System for Real Time Truck Scheduling},
booktitle={Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2012)},
year={2012},
pages={282-285},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004148602820285},
isbn={978-989-8565-33-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2012)
TI - Comparing Adaptive and Non-adaptive Models of Cargo Transportation in Multi-agent System for Real Time Truck Scheduling
SN - 978-989-8565-33-4
AU - Granichin O.
AU - Skobelev P.
AU - Lada A.
AU - Mayorov I.
AU - Tsarev A.
PY - 2012
SP - 282
EP - 285
DO - 10.5220/0004148602820285