A case based reasoning based multi-agent system for the reactive container stacking in seaport terminals
| Autor: | Habib Chabchoub, Ines Rekik, Sabeur Elkosantini |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
050210 logistics & transportation
021103 operations research Knowledge representation and reasoning Computer science business.industry Multi-agent system Distributed computing 05 social sciences 0211 other engineering and technologies Stacking 02 engineering and technology Reuse Set (abstract data type) 0502 economics and business Container (abstract data type) General Earth and Planetary Sciences Case-based reasoning Artificial intelligence business General Environmental Science |
| Zdroj: | ICCS |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2017.05.078 |
| Popis: | With the continuous development of seaports, problems related to the storage of containers in terminals have emerged. Unfortunately, existing systems suffer limitations related to the distributed monitoring and control, real-time stacking strategies efficiency and their ability to handle dangerous containers. In this paper, we suggest a multi-agent architecture based on a set of knowledge models and learning mechanisms for disturbance and reactive decision making management. The suggested system is able to capture, store and reuse knowledge in order to detect disturbances and select the most appropriate container location by using a Case Based Reasoning (CBR) approach. The proposed system takes into account the storage of dangerous containers and combines Multi-Agent Systems (MAS) and case based reasoning to handle different types of containers. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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