Scientific Programming

Scientific Programming / 2004 / Article
Special Issue

Distributed Computing and Applications

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Open Access

Volume 12 |Article ID 365010 | https://doi.org/10.1155/2004/365010

Caijun Xue, Hong Nie, Qingying Qiu, Peien Feng, "A Peer-to-Peer Distributed Collaborative Optimization System", Scientific Programming, vol. 12, Article ID 365010, 11 pages, 2004. https://doi.org/10.1155/2004/365010

A Peer-to-Peer Distributed Collaborative Optimization System

Received19 Jul 2004
Accepted19 Jul 2004

Abstract

It is difficult to solve design optimization problems of complex systems by using a traditional computing method because complex simulation processes usually lead to large-scale computation. Therefore the distributed computing technology based on decomposition-coordination theory has received much attention by design engineers. This paper studies a peer-to-peer collaborative optimization method based on distributed computing technology in order to examine flexible optimization. A new distributed collaborative optimization framework is proposed, and a coordination method is developed and used to deal with the conflict of related variables among sub-optimization problems. A multi-agent based distributed computing environment is implemented. The implementation of an optimization agent, in which CORBA technology is used to implement communication between the components of the optimization agent, is discussed in detail. Two examples are used to demonstrate the efficiency of the computing method and the reliability and flexibility of the multi-agent system.

Copyright © 2004 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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