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| 基于模拟退火算法的遗传程序设计方法 | |
| 引用本文： | 胡为成,王本年,程转流.基于模拟退火算法的遗传程序设计方法[J].计算机工程与设计,2006,27(23):4437-4439. |
| 作者姓名： | 胡为成 王本年 程转流 |
| 作者单位： | 1. 合肥工业大学,计算机学院,安徽,合肥,230009;铜陵学院,计算机系,安徽,铜陵,244000 2. 南京大学,计算机学院,江苏,南京,240000 3. 铜陵学院,计算机系,安徽,铜陵,244000 |
| 基金项目： | 安徽省高校自然科学基金 |
| 摘 要： | 遗传程序设计（GP）是运用遗传算法的思想，通过生成计算机程序来解决问题的，但用它来解决大型或复杂问题时，就存在一些难以解决的问题，尤其是大量使用计算机内存和CPU时间，大大影响了工作性能。以符号回归问题为例，针对传统的遗传程序设计方法在解决问题时所遇到的困难，提出一个基于模拟退火算法的遗传程序设计方法，进一步提高GP系统求解问题的能力。 |
| 关 键 词： | 遗传程序设计 模拟退火算法 参数估计 适应度 符号回归 |
| 文章编号： | 1000-7024（2006）23-4437-03 |
| 收稿时间： | 2005-11-05 |
| 修稿时间： | 2005-11-05 |
Genetic programming paradigm based on simulated annealing algorithm |
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| HU Wei-cheng,WANG Ben-nian,CHENG Zhuan-liu.Genetic programming paradigm based on simulated annealing algorithm[J].Computer Engineering and Design,2006,27(23):4437-4439. | |
| Authors: | HU Wei-cheng WANG Ben-nian CHENG Zhuan-liu |
| Affiliation: | 1. College of Computer Science, Hefei Technology University, Hefei 230009, China; 2. College of Computer Science, Nanjing University, Nanjing 240000, China; 3. Department of Computer Science, Tongling College, Tongling 244000, China |
| Abstract: | Genetic programming(GP) solves problems by using ideas of genetic algorithms and generating computer programs.But when it is used to solve a certain complex problems,some tough problems will come out.In particular,too much of the computer memory and CPU time are consumed so that the function of computer will be highly weakened.To overcome these difficulties in solving problems by using traditional genetic programming paradigm,symbolic regression problem is taken as example,a genetic programming paradigm based on simulated annealing algorithm is put forward,and the ability of GP system in solving problems is improved. |
| Keywords: | genetic programming simulated annealing algorithm parameter estimation fitness symbolic regression |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
