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| 经费分配中基于多目标优化的遗传规划模型 | |
| 引用本文： | 曾文飞,颜玲,王志兵.经费分配中基于多目标优化的遗传规划模型[J].计算机工程与设计,2007,28(7):1620-1623. |
| 作者姓名： | 曾文飞 颜玲 王志兵 |
| 作者单位： | 1. 邵阳学院,计算机系,湖南,邵阳,422001 2. 邵阳师范学院,湖南,邵阳,422001 3. 湖南工业大学,计算机系,湖南,株洲,412008 |
| 基金项目： | 湖南省中青年基金 , 教育部科学技术研究项目 |
| 摘 要： | 在传统遗传规划中引入多目标优化原理,探索新的经费分配方法和管理模式,建立了一种多目标优化的非线性遗传规划模型,提出了一种先进的基于正交试验的新型混合遗传算法来求解该问题.对求解过程中的选择算子、交叉算子和变异算子等进行正交试验,得到的种群个体明显优于基本遗传算法的个体.这种基于多目标优化的遗传规划模型能产生精度更高的最优解,通过对经费分配问题的实验验证,得到了较好的结果. |
| 关 键 词： | 遗传规划 多目标优化 正交试验 混合遗传算法 最优解 经费分配方法 多目标优化 基本遗传算法 规划模型 fund multiobjective optimization based programming model Genetic 结果 实验验证 分配问题 最优解 精度 变异算子 交叉算子 选择算子 求解过程 混合 正交试验 |
| 文章编号： | 1000-7024（2007）07-1620-04 |
| 修稿时间： | 2006-03-18 |
Genetic programming model based on multiobjective optimization in fund's assignment |
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| ZENG Wen-fei,YAN Ling,WANG Zhi-bing.Genetic programming model based on multiobjective optimization in fund''''s assignment[J].Computer Engineering and Design,2007,28(7):1620-1623. | |
| Authors: | ZENG Wen-fei YAN Ling WANG Zhi-bing |
| Affiliation: | 1. Department of Computer, Shaoyang University, Shaoyang 422001, China; 2. Shaoyang College of Teacher, Shaoyang 422001, China; 3. Department of Computer, Hunan University of Technology, Zhuzhou 412008, China |
| Abstract: | The multiobjective optimization principle is applied to genetic programming (GP),an assignment model equipment fund's management and its resolving method based on multiobjective optimization are presented. A new GP is put forward,which covers merits of GP and orthogonal design method. Then the modified "Elitist Model",the "self-crossover operator" and "increase & decrease mutation operator" are designed. The coding method,fitness function and initial population which are fit for the problem are discussed. This GP model based on multiobjective optimization is presented as a tool for optimal results with higher precision,tests of fund's assignment problem show this model is better than traditional GP. |
| Keywords: | genetic programming multiobjective optimization orthogonal design method hybrid genetic algorithms optimizing resolution |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |