RESEARCH ON METHOD OF MIXED OPTIMUM IMPEDANCE INVERSION

doi:10.3863/j.issn.1000-2634.2006.05.007

西南石油大学学报(自然科学版) ›› 2006, Vol. 28 ›› Issue (5): 26-28.DOI: 10.3863/j.issn.1000-2634.2006.05.007

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RESEARCH ON METHOD OF MIXED OPTIMUM IMPEDANCE INVERSION

PENG CaiZHU Shi-junSUN Jian-kuet al

Southwest Petroleum University, Chengdu Sichuan 610500，China

Received:2005-10-27 Revised:1900-01-01 Online:2006-10-20 Published:2006-10-20
Contact: PENG Cai

Abstract

Abstract: The genetic algorithm is a stochastic search method of global optimization, but also it has the disadvantages of low local search ability and precision. In order to solving the disadvantages this paper introduces pattern search, using the strong local search ability and high precision of pattern search to offset it. First of all, using generitc algorithm to compute a number of generations, and take all searched points as the first points of pattern search, then quicken convergent velocity. The analysis of theorized model and example computing validate the method of mixed optimum algorithm.
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Key words: impedance, mixed optimization, generitc algorithm, pattern search, inversion

CLC Number:

P613.445

PENG Cai ZHU Shi-jun SUN Jian-ku et al. RESEARCH ON METHOD OF MIXED OPTIMUM IMPEDANCE INVERSION[J]. 西南石油大学学报(自然科学版), 2006, 28(5): 26-28.

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http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y2006/V28/I5/26

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RESEARCH ON METHOD OF MIXED OPTIMUM IMPEDANCE INVERSION

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