Ant Colony Optimization: A Leading Algorithm in Future Optimization of Petroleum Engineering Processes

Authors:
Fatemeh Razavi;Farhang Jalali-Farahani
Affiliations:
Institute of Petroleum Engineering, University of Tehran,;Institute of Petroleum Engineering, University of Tehran, Tehran, Iran
Venue:
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Year:
2006

Citing 2
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Ant Colony Optimization

Ant Colony Optimization
Ant colony system: a cooperative learning approach to the traveling salesman problem

IEEE Transactions on Evolutionary Computation

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Abstract

The objective of the research presented in this paper is to investigate the application of a metaheuristic algorithm called Ant Colony Algorithmto petroleum engineering problems. This algorithm usually used for discrete domains, but with some modifications could be applied to continuous optimization. In this Paper, two examples with continuous and discrete parameters also known solutions and varying degrees of complexities are presented as an illustration for solving a large class of process optimization problems in petroleum engineering. Results of case studies show ability of Ant Colony Algorithm to provide fast and accurate solutions.