| 遗传-蚁群融合算法在离散型优化中的研究及实现 |
| |
| 引用本文： | 李光辉. 遗传-蚁群融合算法在离散型优化中的研究及实现[J]. 电脑与微电子技术, 2013, 0(22): 24-27 |
| |
| 作者姓名： | 李光辉 |
| |
| 作者单位： | 上海贝软信息技术有限公司,上海201199 |
| |
| 摘 要： | 主要针对离散型数学模型的优化问题,分析使用遗传和蚁群算法的优缺点,并克服遗传算法、蚁群算法各自的局限性,发挥其优势,通过遗传-蚁群融合算法进行优化计算。在研究过程中,采用C#语言实现融合算法,并定义标准输入和输出结构。利用油田措施优化应用案例进行了对比实验验证,结果表明,融合算法能有效地发挥遗传、蚁群算法的优点,运算速度及求解效率均较理想。
|
| 关 键 词： | 遗传算法 蚁群算法 遗传-蚁群融合算法 C# |
Research and Implementation of Combination Algorithm of Genetic and Ant Colony for Discrete Optimization Problem |
| |
| LI Guang-hui. Research and Implementation of Combination Algorithm of Genetic and Ant Colony for Discrete Optimization Problem[J]. , 2013, 0(22): 24-27 |
| |
| Authors: | LI Guang-hui |
| |
| Affiliation: | LI Guang-hui;Brainsoft Information Technology Co., Ltd.; |
| |
| Abstract: | Analyzes the advantages and disadvantages of genetic algorithm and ant colony algorithm, targets to discrete optimization problems, and overcomes their own limitations, brings the strength by combining them together. Uses C# language to implement this algorithm, and defines the standard input and output structures. Practices have tested and verified this algorithm in oil field related projects, the result shows that this algorithm can perform very well both in speed and efficiency. |
| |
| Keywords: | Genetic Algorithms Ant Colony Algorithm Combination Algorithm of Genetic and Ant Colony C# |
| 本文献已被 维普 等数据库收录！ |
|
