| 一种多策略并行遗传算法研究 |
| |
| 引用本文： | 刘普胜,彭志平,周靖.一种多策略并行遗传算法研究[J].计算机测量与控制,2011,19(5). |
| |
| 作者姓名： | 刘普胜 彭志平 周靖 |
| |
| 作者单位： | 广东石油化工学院计算机与电子信息学院,广东,茂名,525000 |
| |
| 基金项目： | 广东省自然科学基金(8152500002000003) |
| |
| 摘 要： | 针对传统遗传算法工程应用性能不足的特点,提出一种多策略并行遗传算法以增加算法的群体多样性及提高算法的鲁棒性;采用8个不同策略为并行遗传算法的分支遗传操作进行群体寻优,并将分支的群体采用自适应迁移策略实现最优个体的合理迁移,以分支群体的适应度为算法终止条件,实现群体寻优;利用连续单峰函数、连续多峰函数等多个函数进行平均收敛代数等参数进行算法测试,结果表明算法的鲁棒性、收敛性、稳定性及优化能力较传统遗传算法有较大的提高,该算法具有较强的工程应用性能。
|
| 关 键 词： | 并行遗传算法 多策略并行 自适应迁移 鲁棒性 |
Research of Multi-Strategy Parallel Genetic Algorithm |
| |
| Liu Jinsheng,Peng Zhiping,Zhou Jing.Research of Multi-Strategy Parallel Genetic Algorithm[J].Computer Measurement & Control,2011,19(5). |
| |
| Authors: | Liu Jinsheng Peng Zhiping Zhou Jing |
| |
| Affiliation: | Liu Jinsheng,Peng Zhiping,Zhou Jing(School of Computer and Electronic Information,Guangdong University ofPetrochemical Technology,Maoming 525000,China) |
| |
| Abstract: | As performance of traditional genetic algorithm is inadequate at application,a kind of parallel genetic algorithm for multi-strategy is proposed to increase population diversity and improve robustness of the algorithm.The paper uses 8 different strategies for branch genetic manipulation of genetic algorithm to carry out group optimization,the branch groups use adaptive migration strategies to realize reasonable relocation of the best individual,and the fitness of the branch group is taken as the termination... |
| |
| Keywords: | parallel genetic algorithm multi-strategy parallel adaptive migration robustness |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
