In this work the determination of optimally located pipeline networks has been proposed by means of the implementation of a metaheuristic algorithm called Simulated Annealing with GAMS (SAG) in order to find the best pipeline layout together with a subset of locations to install concentration nodes. The strategy essentially consists in a hybridization of Simulated Annealing, combined with the well-known GAMS package. In particular, the sample cases consisted in finding the most convenient routes so as to transport natural gasoline from Santa Cruz (Argentina) gas fields to the processing plants. The SAG algorithm behaved satisfactorily because it proved to be efficient and flexible.Fil: Rodriguez, Diego Alejandro. Universidad Nacional de Sal...
To comply with natural gas demand growth patterns and Europe´s import dependency, the gas industry n...
A genetic algorithm (GA) model for the optimum layout and optimum hydraulic design of a branched pip...
We showcase geospatial heuristic methods for network design and optimization. We propose and adapt g...
A hyperheuristic optimization technique to reduce computational times for the design of pipeline net...
Operation optimization of natural gas pipelines has received increasing attentions, due to such adva...
This paper deals with a high-pressure gas pipeline optimization, where the problem is to find the de...
The optimal design of gathering networks for the unconventional oil and gas production is a relevant...
The pipeline network is one of the most complex optimization problems consisting of several elements...
This study addresses the problem of designing a new natural gas transmission network or expanding an...
ABSTRACT: This paper presents an hybrid approach, composed by a genetic algorithm and a linear progr...
Abstract- We has presented a methodology for the application of genetic algorithm technique to pipel...
As the gas industry has developed, gas pipeline networks have evolved over decades into very complex...
A natural gas upstream processing network consists of several main processing units. Many process co...
Natural gas is one of the cleanest fossil fuels and most reliable energy source readily available fo...
In order to achieve sustainable supply combustible development, Morocco is projecting to invest in i...
To comply with natural gas demand growth patterns and Europe´s import dependency, the gas industry n...
A genetic algorithm (GA) model for the optimum layout and optimum hydraulic design of a branched pip...
We showcase geospatial heuristic methods for network design and optimization. We propose and adapt g...
A hyperheuristic optimization technique to reduce computational times for the design of pipeline net...
Operation optimization of natural gas pipelines has received increasing attentions, due to such adva...
This paper deals with a high-pressure gas pipeline optimization, where the problem is to find the de...
The optimal design of gathering networks for the unconventional oil and gas production is a relevant...
The pipeline network is one of the most complex optimization problems consisting of several elements...
This study addresses the problem of designing a new natural gas transmission network or expanding an...
ABSTRACT: This paper presents an hybrid approach, composed by a genetic algorithm and a linear progr...
Abstract- We has presented a methodology for the application of genetic algorithm technique to pipel...
As the gas industry has developed, gas pipeline networks have evolved over decades into very complex...
A natural gas upstream processing network consists of several main processing units. Many process co...
Natural gas is one of the cleanest fossil fuels and most reliable energy source readily available fo...
In order to achieve sustainable supply combustible development, Morocco is projecting to invest in i...
To comply with natural gas demand growth patterns and Europe´s import dependency, the gas industry n...
A genetic algorithm (GA) model for the optimum layout and optimum hydraulic design of a branched pip...
We showcase geospatial heuristic methods for network design and optimization. We propose and adapt g...