自然科学版 英文版
自然科学版 英文版
自然科学版 英文版

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中南大学学报(英文版)

Journal of Central South University

Vol. 22    No. 10    October 2015

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An improved self-adaptive membrane computing optimization algorithm andits applications in residue hydrogenating model parameter estimation
LU Hui-bin(芦会彬), BO Cui-mei(薄翠梅), YANG Shi-pin(杨世品)

College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China

Abstract:In order to solve the non-linear and high-dimensional optimization problems more effectively, an improved self-adaptive membrane computing (ISMC) optimization algorithm was proposed. The proposed ISMC algorithm applied improved self-adaptive crossover and mutation formulae that can provide appropriate crossover operator and mutation operator based on different functions of the objects and the number of iterations. The performance of ISMC was tested by the benchmark functions. The simulation results for residue hydrogenating kinetics model parameter estimation show that the proposed method is superior to the traditional intelligent algorithms in terms of convergence accuracy and stability in solving the complex parameter optimization problems.

 

Key words: optimization algorithm; membrane computing; benchmark function; improved self-adaptive operator

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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