Multi-agent ERA Model Based on Belief Solves Multi-port Container Stowage Problem

Yanbin Liu, Kangping Wang, Dongwei Guo, Wei Pang, Chunguang Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

ERA is the acronym of environment, reactive rules and agent; the model is a new effective multi-agent cooperation framework, which has been successfully applied in a wide range of areas. Multi-port Container Stowage (MPCS) is a more practical problem. However, multi-port makes the container stowage problem more difficult. This paper presents a MPCS model based on time series and a multi-agent ERA model based on belief to solve the multi-port container stowage problem. The algorithm introduces the belief concept into agents and creates a multi-agent ERA model. The searching direction and strength of the agents are determined by the learning machine using belief parameter. Agent has the ability to evaluate its searching path. At last, the feasibility and efficiency of the model are validated by the experimental result.
Original languageEnglish
Title of host publication2008 Seventh Mexican International Conference on Artificial Intelligence
PublisherIEEE
Number of pages6
ISBN (Print)978-0-7695-3441-1
DOIs
Publication statusPublished - Nov 2008

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    Liu, Y., Wang, K., Guo, D., Pang, W., & Zhou, C. (2008). Multi-agent ERA Model Based on Belief Solves Multi-port Container Stowage Problem. In 2008 Seventh Mexican International Conference on Artificial Intelligence IEEE. https://doi.org/10.1109/MICAI.2008.10