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Cluster Computing

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30-03-2018

RETRACTED ARTICLE: Solving algorithm for inverse problem of partial differential equation parameter identification based on IGEP

Author: Feng Baolin

Published in: Cluster Computing | Special Issue 2/2019

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Abstract

Gene expression programming (GEP) is a mathematical model that can be used to optimize complex systems. It has not only limited to specific problems, but also has good robustness in solving various problems, which has been applied in many disciplines such as biochemistry, physics, and mathematics. In this paper, the IGEP algorithm was proposed based on the optimization of GEP algorithm, and the algorithm for solving the inverse problem of parameter identification of partial differential equations based on this algorithm was studied. The structure and steps of GEP algorithm were analyzed firstly, and the GEP (IGEP) based on improved mutation operator was proposed. The algorithm advantage of IGEP for solving the inverse problem of partial differential equations was discussed. In addition, the simulation experiments were carried out to prove the feasibility and superiority of the proposed algorithm.

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Title: RETRACTED ARTICLE: Solving algorithm for inverse problem of partial differential equation parameter identification based on IGEP
Author: Feng Baolin
Publication date: 30-03-2018
Publisher: Springer US
Published in: Cluster Computing / Issue Special Issue 2/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-018-2543-y

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