[1]孙岳岳 刘希玉.一种变增长率的多种群竞争协同进化[J].计算机技术与发展,2011,(05):64-67.
　SUN Yue-yue,LIU Xi-yu.Population Density of Coevolution Based on Changes[J].,2011,(05):64-67.
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一种变增长率的多种群竞争协同进化()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2011年05期
页码:
64-67
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Population Density of Coevolution Based on Changes
文章编号:
1673-629X（2011）05-0064-04
作者:
孙岳岳 刘希玉
山东师范大学信息科学与工程学院
Author(s):
SUN Yue-yue;  LIU Xi-yu
School of Information Science and Engineering, Shandong Normal University
关键词:
遗传算法; 生态环境; 种群密度; 信息熵
Keywords:
genetic algorithm;  ecological environment;  population density ;  entropy
分类号:
TP301.6
文献标志码:
A
摘要:
为提高遗传算法的收敛性能，借鉴生态学对个体生存环境和种群竞争的认识，并根据原有的生态种群竞争模型的协同进化模式，对种群增长与环境间的动力学特征的方程进行了优化，提出了一种变增长率的多种群竞争协同进化。利用信息熵的概念，构造出含有熵的多目标优化模型，利用该模型可以直接显式地给出作为拉格朗日乘子的种群最优解存在概率，从而得出种群的增长率。采用该模式的遗传算法在改善未成熟收敛和收敛速度两方面具有较好的性能
Abstract:
In order to improve the convergence performance of genetic algorithms,drawing on the living environment and ecology of individual species competition awareness and competition under the original model of ecological species co-evolution model, population growth and dynamic characteristics equation of the environment is optimized, proposed a variable rate of growth of a variety of species competitive co-evolution. Multi-objective optimization model is constructed with the concept of information entropy, using the model can give an explicit Lagrange multiplier of the population as the most optimal solutions of the probability to arrive at population growth rate. Use the model to improve the premature convergence of genetic algorithm in both convergence speed and good performance

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备注/Memo

备注/Memo:
国家自然科学基金（60873058）;山东省自然科学基金（J05G01）;山东省信息化专项建设资金项目（2008R00038）;孙岳岳（1988-），女，山东济南人，硕士研究生，主要研究方向为计算智能；刘希玉，教授，博士，主要研究方向为数据挖掘与人工智能
更新日期/Last Update: 1900-01-01