PSO based single strategy risk programming problem for virtual enterprise

Min Huang, Xuejing Wu, Xingwei Wang, W. H. Ip, Kai Leung Yung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Virtual enterprise will be the main organization mode for enterprises in information society of twenty-one century. Focus on the fuzzy characteristics and project organization mode of virtual enterprises, the risk programming methods for virtual enterprise are studied in this paper. As we all known, the classical Particle Swarm Optimization (PSO) is a powerful method for finding the optimum of a numerical function on a continuous definition space, however, the study in discrete space is seldom. The single strategy risk programming problem for virtual enterprise is solved by PSO in this paper and the global risk level of the virtual enterprise estimated by fuzzy synthetic evaluation method. Simulation result suggests that the method is simple and effective.
Original languageEnglish
Title of host publicationProceedings of the 2006 American Control Conference
Pages4506-4510
Number of pages5
Volume2006
Publication statusPublished - 1 Dec 2006
Event2006 American Control Conference - Minneapolis, MN, United States
Duration: 14 Jun 200616 Jun 2006

Conference

Conference2006 American Control Conference
Country/TerritoryUnited States
CityMinneapolis, MN
Period14/06/0616/06/06

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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