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复杂动力学模型参数优化问题的协同进化算法

邹丽珊 陈振洲 洪洲

计算机技术与发展2011,Vol.21Issue(8):129-132,136,5.
计算机技术与发展2011,Vol.21Issue(8):129-132,136,5.

复杂动力学模型参数优化问题的协同进化算法

Cooperative Co-Evolutionary Algorithm for Optimization of Kinetic Parameters

邹丽珊 1陈振洲 2洪洲1

作者信息

  • 1. 广州城市职业学院信息与汽车工程学院,广东广州510405
  • 2. 华南师范大学计算机学院,广东广州510631
  • 折叠

摘要

Abstract

Parameters optimization is one of the key problems in complex reaction kinetic modeling. This problem has many nonlinear parameters with high relevance. Combined the cooperative function among subpopulations and the independent evolution in subpopulatkm, the cooperative co-evolutionary algorithm is fit for this kind of problems. Applying the cooperative co-evolutionary algorithm into the problem of parameters optimization in oxidation reaction modeling, the efficient of algorithm is proved theoretically. Experimental results also demonstrate that the algorithm is fairly efficient for solving the optimization problem of parameters.

关键词

协同进化/参数优化/动力学模型

Key words

cooperative co-evolutionary/parameters optimization/kinetic model

分类

信息技术与安全科学

引用本文复制引用

邹丽珊,陈振洲,洪洲..复杂动力学模型参数优化问题的协同进化算法[J].计算机技术与发展,2011,21(8):129-132,136,5.

基金项目

广州市属高校科技攻关青年项目(08B027) (08B027)

广州城市职业学院校级科研项目(Ky2007-2008015) (Ky2007-2008015)

计算机技术与发展

OACSTPCD

1673-629X

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