Multiobjective optimization of the transport in oil pipelines networks

Author

De la Cruz, J.M. ; de Andres-Toro, B. ; Herran, A. ; Porta, E. Besada ; Blanco, P. Fernandez

Author_Institution

Dept. Comput. Archit. & Autom. Control, Univ. Complutense de Madrid, Spain

Volume

1

fYear

2003

fDate

16-19 Sept. 2003

Firstpage

566

Abstract

Heuristic methods are specially well suited to solve combinatorial problems. One of these problems is the distribution of petroleum products through oil pipelines networks. In this paper the problem is stated and solved using a multiobjective and constraint evolutionary optimization algorithm. Several objective functions has been defined to express the goals of the solutions as well as the preferences among them. Some constraints are included as hard objective functions and some has been evaluated through a repairing function to avoid infeasible solutions. An example of working is given.

Keywords

combinatorial mathematics; evolutionary computation; heuristic programming; optimisation; petroleum industry; pipelines; transportation; combinatorial problem; evolutionary algorithms; heuristic methods; oil pipeline networks; optimization algorithm; petroleum products distribution; Automatic control; Computer architecture; Constraint optimization; Evolutionary computation; Fuel economy; Intelligent networks; Petroleum; Pipelines; Refining; Transportation;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Technologies and Factory Automation, 2003. Proceedings. ETFA '03. IEEE Conference

Print_ISBN

0-7803-7937-3

Type

conf

DOI

10.1109/ETFA.2003.1247757

Filename

1247757