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 publicationSeventh Mexican International Conference on Artificial Intelligence (MICAI '08)
PublisherIEEE Explore
Pages287-292
Number of pages6
ISBN (Print)978-0-7695-3441-1
DOIs
Publication statusPublished - Oct 2008

Publication series

NameLecture Notes in Artificial Intelligence
PublisherSpringer
Number5137

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  • Cite this

    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 Seventh Mexican International Conference on Artificial Intelligence (MICAI '08) (pp. 287-292). (Lecture Notes in Artificial Intelligence; No. 5137). IEEE Explore. https://doi.org/10.1109/MICAI.2008.10