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遗传算法在结构优化中的研究进展
引用本文:唐文艳,顾元宪.遗传算法在结构优化中的研究进展[J].力学进展,2002,32(1):26-40.
作者姓名:唐文艳  顾元宪
作者单位:大连理工大学工程力学系
基金项目:国家杰出青年科学基金(19525206),国家重点基础研究专项经费(G1999032805)资助项目
摘    要:遗传算法(genetic algorithm)是基于Darwin的进化论和Mendal 遗传学说而形成的新算法,具有全局收敛性和并行性,适用性广,并要求 较少的先验知识,现在已广泛应用于优化、模式识别等方面.本文简要地 介绍了简单遗传算法的基本过程及其数学基础;并从编码机制、收敛性 和算子的研究等方面详细地阐述了遗传算法理论的发展;对约束处理方 式、适应值函数的选取等方面的研究进行分析和评论;最后还提出遗传 算法存在的主要问题和展望.

关 键 词:遗传算法  适应值  约束处理  优化
修稿时间:2000年10月18

ADVANCES OF GENETIC ALGORITHMS IN STRUCTURAL OPTIMIZATION
Tang Wenyan Gu Yuanxian State Key Laboratory of Structural Analysis for Industrial Equipment,.ADVANCES OF GENETIC ALGORITHMS IN STRUCTURAL OPTIMIZATION[J].Advances in Mechanics,2002,32(1):26-40.
Authors:Tang Wenyan Gu Yuanxian State Key Laboratory of Structural Analysis for Industrial Equipment  
Affiliation:Tang Wenyan Gu Yuanxian State Key Laboratory of Structural Analysis for Industrial Equipment,Department and Research Institute of Engineering Mechanics,Dalian University of Technology,Dalian 116024,China
Abstract:As a newly developed algorithm, the genetic algorithm, arose from the theory of evolution and genetics. It is of global convergence and parallelism. Now it has become an important part of computation intelligence. The paper briefly introduces the procedure of simple genetic algorithm and its mathematical foundation. Some developments and evaluations of encoding, convergence and operators are discussed in details. The constraint handling and the choice of fitness function are analyzed. Some suggestions for further research are given.
Keywords:genetic algorithm (GA)  fitness function  constraint handling  optimization The project supported by the Scientific Funds for National Outstanding Found Researchers (19525206) and the  Special Funds for national Key Basic Rearch of China (G1999
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