Identification Of Fluid Systems Using Genetic Programming (1996)
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author = {Andrew Watson and Ian C. Parmee},
title = {Identification Of Fluid Systems Using Genetic Programming},
year = {1996}
}
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Abstract:
In recent years, applied researchers have become increasingly interested in Adaptive Search (AS), techniques such as the Genetic Algorithm (GA) [1], and Genetic Programming GP [2], for engineering design [3]. This paper illustrates the effectiveness of the genetic programming paradigm for simple fluid systems identification problems. The objective of the paper is to establish methods for systems identification using GP and sets of empirical data. The manipulation and optimisation of these approximate functions that describe the physical process is achieved using the GP approach and by the development of complementary AS techniques. Two new GP operators are introduced, the first searches through possible values of terminals for a particular functional tree structure, and the second uses functional induction [4] to improve the performance of the technique. INTRODUCTION The objective of the work is to establish methods for systems identification using Genetic Programming (GP) [2], and s...
Citations
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| 2 | Simple and explicit formulas for the friction factor in turbulent pipe flow,” Fluids Eng – Haaland, E - 1983 |
| 1 | I.C.; `Inductive Search';First International contest on evolutionery Optimisation – Bilchev - 1996 |
| 1 | Flow analysis using a PC – Ninomiya - 1991 |
