Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
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A Genetic Algorithm (GA) is used in this paper for the optimal operation, result in better solution than the existing one, of the pipeline systems under transient conditions caused by valve closure. Simulation of pipeline system is carried out here by the Implicit Method of Characteristics, a method recently developed and introduced by the authors. This method uses an element-wise definition for all the devices that may be used in a pipeline system. The advantages of this method lie in its capability of considering any arbitrary combination of devices in a pipeline system. The transient simulator is linked to a GA optimizer, which is then used to optimize the operation of a pipeline system under valve closure. One example problem of valve closure is used to test the performance of the proposed model. In this example, the GA is used to obtain the minimum valve closure time such that the pipeline system with predefined characteristics can withstand the induced pressure surge. Two pre-specified closure rules of linear and sinusoidal type were used and their corresponding results are presented and compared. The results clearly emphasize on the applicability of the proposed optimization model to control the water hammer effects by properly managing the valve closure in a pipeline system.