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 language | English |
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Title of host publication | 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings |
Pages | 1349-1354 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 1 Dec 2009 |
Event | 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Coimbatore, India Duration: 9 Dec 2009 → 11 Dec 2009 |
Conference
Conference | 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 |
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Country/Territory | India |
City | Coimbatore |
Period | 9/12/09 → 11/12/09 |
Keywords
- Co-evolutionary particle swarm optimization
- Heuristic
- Multi-agent
- Petroleum industry
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Software