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几种改进遗传算法的性能比较
引用本文:刘刚,曹勇,李华德.几种改进遗传算法的性能比较[J].微计算机信息,2007,23(30):190-192.
作者姓名:刘刚  曹勇  李华德
作者单位:北京科技大学信息工程学院,北京,100083
基金项目:教育部科学技术研究重点项目;教育部高校骨干教师资助计划
摘    要:本文将标准遗传算法与分层策略和模拟退火思想相融合,设计出分层遗传算法、模拟退火遗传算法和模拟退火分层遗传算法三种改进的遗传算法。计算结果验证了算法的有效性和正确性。进一步算法性能分析证明了论文中所设计的改进的算法不仅能增强算法的全局收敛性,还能加快遗传进化速度。

关 键 词:分层遗传算法  模拟退火算法  优化模型
文章编号:1008-0570(2007)10-3-0190-03
修稿时间:2007-07-03

Performance Comparison of Several Improved Genetic Algorithms
LIU GANG,CAO YONG,LI HUADE.Performance Comparison of Several Improved Genetic Algorithms[J].Control & Automation,2007,23(30):190-192.
Authors:LIU GANG  CAO YONG  LI HUADE
Abstract:It is combined with hierarchic method and simulated annealing thought so that three improved genetic algorithms are gotten. They are namely hierarchic genetic algorithm, simulated annealing genetic algorithm and simulated annealing hierarchic genetic algo- rithm. Calculation result shows that the algorithms proposed in the paper are valid and correct. The performance analysis of the algo- rithms proves that its convergent speed and accelerate evolutionary velocity are improved,
Keywords:Hierarchic Genetic Algorithm  Simulated Annealing Algorithm  Optimization Model
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