Scipediacontent: Scipediacontent moved page Draft Content 687966813 to Amodeo et al 2006a

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Scipediacontent moved page Draft Content 687966813 to Amodeo et al 2006a

Scipediacontent: Created page with " == Abstract == International audience; In this paper, ant colony optimization algorithm (ACOA) is proposed to solve the problem of how to efficiently operate a natural gas p..."

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Created page with " == Abstract == International audience; In this paper, ant colony optimization algorithm (ACOA) is proposed to solve the problem of how to efficiently operate a natural gas p..."

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== Abstract ==

International audience; In this paper, ant colony optimization algorithm (ACOA) is proposed to solve the problem of how to efficiently operate a natural gas pipeline under steady state assumptions. The system is composed by compressing stations linked by pipe-legs. For each station, it is necessary to find the operating turbocompressors optimal values and the discharge pressures ones to minimize the total amount of fuel gas consumed in the system by the compressor stations. In the past, several techniques ranging from classical gradient-based procedures to dynamic programming, for solving this no convex problem have been applied. In this paper, we propose the ant colony optimization metaheuristic. This method was applied to the gas pipeline Hassi R' mell- ARZEW (two cities in Algeria) and the results are compared with those obtained by employing dynamic programming method. From these results, we obtain that the ACO technique is an interesting way for the gas pipeline operations optimization.

== Original document ==

The different versions of the original document can be found in:

* [https://hal-utt.archives-ouvertes.fr/hal-02499477 https://hal-utt.archives-ouvertes.fr/hal-02499477]

* [http://xplorestaging.ieee.org/ielx5/4114390/4114593/04114618.pdf?arnumber=4114618 http://xplorestaging.ieee.org/ielx5/4114390/4114593/04114618.pdf?arnumber=4114618],
: [http://dx.doi.org/10.1109/icsssm.2006.320759 http://dx.doi.org/10.1109/icsssm.2006.320759]

* [http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004114618 http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004114618],
: [http://ieeexplore.ieee.org/document/4114618 http://ieeexplore.ieee.org/document/4114618],
: [https://ieeexplore.ieee.org/document/4114618 https://ieeexplore.ieee.org/document/4114618],
: [https://academic.microsoft.com/#/detail/2008242856 https://academic.microsoft.com/#/detail/2008242856]

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Amodeo et al 2006a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 687966813 to Amodeo et al 2006a

Scipediacontent: Created page with " == Abstract == International audience; In this paper, ant colony optimization algorithm (ACOA) is proposed to solve the problem of how to efficiently operate a natural gas p..."