Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Jiling University (Earth Science Edition)》 2005-05
Add to Favorite Get Latest Update

A Study on Seismic Attribute Optimization Based on Parallel Genetic Algorithm

YIN Wen,YIN Xing-yao,ZHANG Fan-chang(Faculty of Geo-Resource and Information,China University of Petroleum,Dongying257061,China)  
The authors introduce the improvement strategies of each process stage systematically and comprehensively in genetic algorithm.Firstly,the authors create various initial colonies and introduce quinary coding strategy to improve searching speed.Then,they adopt random selection mechanism without reimbursement to prevent premature convergence.Two-point crossover and multipoint mutation are adopted to extend searching range of model space and to keep individual diversity.In addition,they use generation gap technique to ensure the convergence.Finally,the authors bring forward the description of the ameliorated parallel genetic algorithm according to PCAM principle.Thus seismic attribute optimization of nonlinear multi-parameter and multi-extremum is achieved obviously by running the mended parallel genetic algorithm.
【Fund】: 国家“863”高科技发展计划资助项目(2002AA614010-6)
【CateGory Index】: P631.4;
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved