| 基于遗传算法的多目标问题求解方法 |
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| 引用本文： | 游进军,纪昌明,付湘.基于遗传算法的多目标问题求解方法[J].水利学报,2003,34(7):64-69. |
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| 作者姓名： | 游进军 纪昌明 付湘 |
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| 作者单位： | 1. 中国水利水电科学研究院,水资源研究所,北京,100044
2. 武汉大学,水利水电学院,湖北,武汉,430072 |
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| 基金项目： | 国家自然科学基金重大项目(50099624)，湖北省自然科学基金项目(2001ABB042)，国家自然科学青年基金项目(50209011) |
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| 摘 要： | 寻求非劣解集是多目标决策的基本手段。已有成熟的非劣解生成技术本质上都是以标量优化的手段通过多次计算得到非劣解集。目前遗传算法在多目标问题中的应用方法多数是根据决策偏好信息，先将多目标问题标量化处理为单目标问题后再以遗传算法求解，仍然没有脱离传统的多目标问题分步解决的方式。在没有偏好信息条件下直接使用遗传算法推求多目标问题的非劣解集的研究尚不多见。
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| 关 键 词： | 多目标规划 遗传算法 优化技术 水库调度 |
| 文章编号： | 0559-9350(2003)07-0064-06 |
| 修稿时间： | 2002年6月26日 |
New method for solving multi objective problem based on genetic algorithm |
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| YOU Jin jun.New method for solving multi objective problem based on genetic algorithm[J].Journal of Hydraulic Engineering,2003,34(7):64-69. |
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| Authors: | YOU Jin jun |
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| Affiliation: | China Institute of Water Resources and Hydropower research, Beijing 100044,China |
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| Abstract: | A new multi-objective genetic algorithm based on the variety of plentiful solution in every generation of the evolution is proposed, by which the Pareto set can be searched by calculation of only one time interchange.The appraising function in this method ranks the gene by comparing their performance in each objective function through the sorting matrix created by the objective function. In order to elevate the efficiency of this method, the parameter's calibration is improved and the Pareto solution's selection is controlled effectively.The application in a multi-objective reservoir's long-term optimal operation for power generation and water supply is given as an example to demonstrate the feasibility of this method. |
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| Keywords: | multi-objective programming genetic algorithm optimization reservoir operation |
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