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Metaheuristics for Natural Gas Pipeline Networks

In: Handbook of Heuristics

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  • Roger Z. Ríos-Mercado

    (Universidad Autónoma de Nuevo León (UANL), Graduate Program in Systems Engineering)

Abstract

In this chapter an overview of metaheuristic algorithms that have been very successful in tackling a particular class of natural gas pipeline network optimization problems is presented. In particular, the problem of minimizing fuel consumption incurred by the compressor stations driving natural gas in pipeline networks is addressed. This problem has been studied from different angles over the past few years by virtue of its tremendous economical impact. First, a general mathematical framework for this class of problems is presented. After establishing the most relevant model properties and fundamental network topologies, which are key factors for choosing an appropriate solution technique, current state-of-the-art metaheuristics are presented for handling different versions of this problem. This work concludes by highlighting the most relevant and important challenges of this very exciting area of research in natural gas transportation networks.

Suggested Citation

  • Roger Z. Ríos-Mercado, 2018. "Metaheuristics for Natural Gas Pipeline Networks," Springer Books, in: Rafael Martí & Panos M. Pardalos & Mauricio G. C. Resende (ed.), Handbook of Heuristics, chapter 37, pages 1103-1121, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-07124-4_51
    DOI: 10.1007/978-3-319-07124-4_51
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