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

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

doi:10.1109/MICAI.2008.10

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

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

Computing Science

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Seventh Mexican International Conference on Artificial Intelligence (MICAI '08)
Publisher	IEEE Explore
Pages	287-292
Number of pages	6
ISBN (Print)	978-0-7695-3441-1
DOIs	https://doi.org/10.1109/MICAI.2008.10
Publication status	Published - Oct 2008

Publication series

Name	Lecture Notes in Artificial Intelligence
Publisher	Springer
Number	5137

Access to Document

10.1109/MICAI.2008.10

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Multi-agent ERA Model Based on Belief Solves Multi-port Container Stowage Problem. / Liu, Yanbin; Wang, Kangping; Guo, Dongwei; Pang, Wei; Zhou, Chunguang .

Seventh Mexican International Conference on Artificial Intelligence (MICAI '08). IEEE Explore, 2008. p. 287-292 (Lecture Notes in Artificial Intelligence; No. 5137).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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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.",

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