This paper describes the application of a modified genetic algorithm (GA) to optimize the design of gas transmission networks operating under steady-stable conditions.

The gas-network optimization system is implemented by means of a genetic algorithm that executes an "intelligent search" in a "gas transmission networks" space.

It obtains automatically and with a low computational work a distribution of pipeline segment diameters for a minimum investment cost, accomplishing some restrictions initially fixed.

Keywords:
chromosome, spe 59030, selection, diameter, constraint, evolutionary algorithm, node, operator, artificial intelligence, colombia
Subjects:
Information Management and Systems, Artificial intelligence
Copyright 2000, Society of Petroleum Engineers
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