Genetic programming: principles and applications

Sette, Stefan; Boullart, Luc

doi:10.1016/s0952-1976(02)00013-1

Cited by 145 publications

(75 citation statements)

References 7 publications

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“…In genetic programming modeling, it is necessary to select suitable terminal from set F and available terminal genes from set f(0) [10,11]. From these, the evolutionary process will try to build as fit an organism (i.e.…”

Section: Resultsmentioning

confidence: 99%

Modeling the Isentropic Head Value of Centrifugal Gas Compressor using Genetic Programming

Safiyullah

Sulaiman

Zakaria

et al. 2016

MATEC Web of Conferences

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Abstract. Gas compressor performance is vital in oil and gas industry because of the equipment criticality which requires continuous operations. Plant operators often face difficulties in predicting appropriate time for maintenance and would usually rely on time based predictive maintenance intervals as recommended by original equipment manufacturer (OEM). The objective of this work is to develop the computational model to find the isentropic head value using genetic programming. The isentropic head value is calculated from the OEM performance chart. Inlet mass flow rate and speed of the compressor are taken as the input value. The obtained results from the GP computational models show good agreement with experimental and target data with the average prediction error of 1.318%. The genetic programming computational model will assist machinery engineers to quantify performance deterioration of gas compressor and the results from this study will be then utilized to estimate future maintenance requirements based on the historical data. In general, this genetic programming modelling provides a powerful solution for gas compressor operators to realize predictive maintenance approach in their operations.

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Section: Resultsmentioning

confidence: 99%

Modeling the Isentropic Head Value of Centrifugal Gas Compressor using Genetic Programming

Safiyullah

Sulaiman

Zakaria

et al. 2016

MATEC Web of Conferences

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show abstract

“…In Genetic programming modelling, it is necessary to select suitable terminal from set F and available terminal genes from set f (0) [10,11]. From these, the evolutionary process will try to build as fit an organism (i.e.…”

Section: Resultsmentioning

confidence: 99%

Implementation of Genetic Programming Technique for Simulating the Material Properties of Sintered Al-Fe Composite

Safiyullah¹

2012

IOSRJMCE

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“…2). Examples of functions and terminals used in GP are standard arithmetic operations, Boolean logic functions, trigonometric functions, numerical constants, logical constants, variables, and user-defined operators [19].…”

Section: Overview Of Artificial Intelligencementioning

confidence: 99%

A review of Genetic Programming and Artificial Neural Network applications in pile foundations

Fatehnia

Amirinia

2018

Geo-Engineering

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Genetic programming: principles and applications

Cited by 145 publications

References 7 publications

Modeling the Isentropic Head Value of Centrifugal Gas Compressor using Genetic Programming

Modeling the Isentropic Head Value of Centrifugal Gas Compressor using Genetic Programming

Implementation of Genetic Programming Technique for Simulating the Material Properties of Sintered Al-Fe Composite

A review of Genetic Programming and Artificial Neural Network applications in pile foundations

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