Multi-agent based petroleum supply chain coordination: A co-evolutionary particle swarm optimization approach

Ashesh Kr Sinha, H. K. Aditya, M. K. Tiwari, Tung Sun Chan

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

8 Citations (Scopus)

Abstract

Petroleum industry supply chain is a complex supply chain with large number of processes starting right from extraction till customer delivery. In this paper multi-agent technology has been applied to make the supply chain faster as compared to conventional supply chain practices. Here a representative but exhaustive model is considered, by taking into account the various options available at each agent. Solving this problem requires an advanced Heuristic method like Coevolutionary Particle Swarm Optimization based on Cauchy distribution which has been precisely made for cost and resource allocation. Cauchy provides a very rapid path towards approaching the solution. The previous work done on the Co-PSO using Gaussian approach is compared with that of Cauchy approach and relevant conclusions drawn.
Original languageEnglish
Title of host publication2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings
Pages1349-1354
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2009
Event2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Coimbatore, India
Duration: 9 Dec 200911 Dec 2009

Conference

Conference2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009
CountryIndia
CityCoimbatore
Period9/12/0911/12/09

Keywords

  • Co-evolutionary particle swarm optimization
  • Heuristic
  • Multi-agent
  • Petroleum industry

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Software

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